


{"id":53,"date":"2010-08-30T09:38:51","date_gmt":"2010-08-30T07:38:51","guid":{"rendered":"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/ciop\/?page_id=53"},"modified":"2020-01-02T13:31:05","modified_gmt":"2020-01-02T12:31:05","slug":"publications","status":"publish","type":"page","link":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p class=\"lead\"><a href=\"#searchfield\">Search Field<\/a><\/p>\n<p style=\"line-height: 16.6399993896484px\">\n\t<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"teachpress_cloud\"><span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"13 Publikationen\" class=\"\">AI<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=89&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"7 Publikationen\" class=\"\">anomaly detection<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"14 Publikationen\" class=\"\">BT-MT<\/a><\/span> <span style=\"font-size:12px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=8&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"23 Publikationen\" class=\"\">BV-3D-Endo<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"17 Publikationen\" class=\"\">CI<\/a><\/span> <span style=\"font-size:18px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=6&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"34 Publikationen\" class=\"\">computer vision<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=81&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"7 Publikationen\" class=\"\">constraints<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=48&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"7 Publikationen\" class=\"\">Control<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=4&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"9 Publikationen\" class=\"\">Data Mining<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=117&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publikationen\" class=\"\">decision trees<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"9 Publikationen\" class=\"\">deep learning<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=10&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"8 Publikationen\" class=\"\">DLA<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=91&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"3 Publikationen\" class=\"\">DWT<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=64&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"9 Publikationen\" class=\"\">evolution<\/a><\/span> <span style=\"font-size:16px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=36&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"30 Publikationen\" class=\"\">Evolutionary Algorithm<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=54&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"9 Publikationen\" class=\"\">evolutionary strategy<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=47&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"7 Publikationen\" class=\"\">experimental research<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=116&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publikationen\" class=\"\">explainable AI<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=9&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"11 Publikationen\" class=\"\">face recognition<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=75&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"5 Publikationen\" class=\"\">FIWA<\/a><\/span> <span style=\"font-size:18px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"34 Publikationen\" class=\"\">Game Learning<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"20 Publikationen\" class=\"\">GBG<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"8 Publikationen\" class=\"\">general game playing<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=37&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publikationen\" class=\"\">Genetic Programming<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=76&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publikationen\" class=\"\">Gesture Reconginition<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=5&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publikationen\" class=\"\">GP<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=7&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"10 Publikationen\" class=\"\">image mosaic<\/a><\/span> <span style=\"font-size:16px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"31 Publikationen\" class=\"\">learning<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"13 Publikationen\" class=\"\">machine learning<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=13&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"11 Publikationen\" class=\"\">MONREP<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=60&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"7 Publikationen\" class=\"\">multi-objective<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=62&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"2 Publikationen\" class=\"\">noise<\/a><\/span> <span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"64 Publikationen\" class=\"\">optimization<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=92&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publikationen\" class=\"\">parameter tuning<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=40&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"3 Publikationen\" class=\"\">Prediction<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=61&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"5 Publikationen\" class=\"\">PSO<\/a><\/span> <span style=\"font-size:19px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"35 Publikationen\" class=\"\">Reinforcement learning<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=120&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publikationen\" class=\"\">Representation learning<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"8 Publikationen\" class=\"\">RL3<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"11 Publikationen\" class=\"\">SACOBRA<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=53&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"9 Publikationen\" class=\"\">sequential optimization<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=125&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"2 Publikationen\" class=\"\">Serious Games<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=12&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"9 Publikationen\" class=\"\">SFA<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=69&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"3 Publikationen\" class=\"\">simulation<\/a><\/span> <span style=\"font-size:13px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=77&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"24 Publikationen\" class=\"\">SOMA<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=31&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"15 Publikationen\" class=\"\">SPOT<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"9 Publikationen\" class=\"\">surrogate models<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=30&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"5 Publikationen\" class=\"\">SVM<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=11&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"19 Publikationen\" class=\"\">TDMR<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=90&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"7 Publikationen\" class=\"\">time series<\/a><\/span> <\/div><div class=\"teachpress_filter\"><select class=\"default\" name=\"yr\" id=\"yr\" tabindex=\"2\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?')\">\r\n                   <option value=\"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=#tppubs\">Alle Jahre<\/option>\r\n                   <option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2024#tppubs\" >2024<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2023#tppubs\" >2023<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2022#tppubs\" >2022<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2021#tppubs\" >2021<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2020#tppubs\" >2020<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2019#tppubs\" >2019<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2018#tppubs\" >2018<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2017#tppubs\" >2017<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2016#tppubs\" >2016<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2015#tppubs\" >2015<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2014#tppubs\" >2014<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2013#tppubs\" >2013<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2012#tppubs\" >2012<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2011#tppubs\" >2011<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2010#tppubs\" >2010<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2009#tppubs\" >2009<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2008#tppubs\" >2008<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2007#tppubs\" >2007<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2006#tppubs\" >2006<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2005#tppubs\" >2005<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2004#tppubs\" >2004<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2003#tppubs\" >2003<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2002#tppubs\" >2002<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2001#tppubs\" >2001<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2000#tppubs\" >2000<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1999#tppubs\" >1999<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1998#tppubs\" >1998<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1997#tppubs\" >1997<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1996#tppubs\" >1996<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1995#tppubs\" >1995<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1994#tppubs\" >1994<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1993#tppubs\" >1993<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1992#tppubs\" >1992<\/option>\r\n                <\/select><select class=\"default\" name=\"type\" id=\"type\" tabindex=\"3\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=#tppubs\">Alle Typen<\/option>\r\n                   <option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=article#tppubs\" >Artikel<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=book#tppubs\" >B\u00fccher<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=incollection#tppubs\" >Buchabschnitte<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=inproceedings#tppubs\" >Proceedings Articles<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=mastersthesis#tppubs\" >Abschlussarbeiten<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=misc#tppubs\" >Sonstige<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=phdthesis#tppubs\" >Promotionsarbeiten<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=proceedings#tppubs\" >Konferenzberichte<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=techreport#tppubs\" >Forschungsberichte<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=unpublished#tppubs\" >Unver\u00f6ffentlicht<\/option>\r\n                <\/select><select class=\"default\" name=\"auth\" id=\"auth\" tabindex=\"5\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">Alle Autoren<\/option>\r\n                   <option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=221#tppubs\" > Adams, L.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=290#tppubs\" > Allmendinger, Richard<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=374#tppubs\" > Anders, Denis<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=214#tppubs\" > Arnold, Dirk V.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=48#tppubs\" > B\u00e4ck, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=60#tppubs\" > Bagheri, Samineh<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=132#tppubs\" > Baranski, Bastian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=308#tppubs\" > Barsnick, Felix<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=9#tppubs\" > Bartz-Beielstein, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=229#tppubs\" > Behrmann, Kay-Ole<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=182#tppubs\" > Beielstein, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=215#tppubs\" > Beyer, Hans-Georg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=93#tppubs\" > Bicker, Daniel<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=7#tppubs\" > Bischl, Bernd<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=116#tppubs\" > Bongards, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=291#tppubs\" > Branke, J\u00fcrgen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=120#tppubs\" > Breiderhoff, Beate<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=304#tppubs\" > Buhl, Henning<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=97#tppubs\" > Chiarandini, Marco<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=152#tppubs\" > Chmielewski, Annette<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=117#tppubs\" > Claes, Christoph<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=314#tppubs\" > C\u00f6ln, Julian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=310#tppubs\" > D\u00e4ubner, Sina<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=99#tppubs\" > Davis, David<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=31#tppubs\" > Davtyan, Arthur<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=292#tppubs\" > Deb, Kalyanmoy<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=389#tppubs\" > Denz, Robin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=156#tppubs\" > Dick, S.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=201#tppubs\" > Dienstuhl, Jan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=315#tppubs\" > Dittmar, Yannick<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=264#tppubs\" > Doursat, Ren\u00e9<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=222#tppubs\" >von D\u00fcring, Monika<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=133#tppubs\" > Ehlers, R\u00fcdiger<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=47#tppubs\" > Emmerich, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=158#tppubs\" > Engelhardt, M.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=381#tppubs\" > Engelhardt, Raphael C<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=371#tppubs\" > Engelhardt, Raphael C.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=391#tppubs\" > Engelhardt, Raphael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=114#tppubs\" > Engels, Christoph<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=192#tppubs\" > Ewald, Claus-Peter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=78#tppubs\" > Faeskorn-Woyke, Heide<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=202#tppubs\" > Feist, Christian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=293#tppubs\" > Fieldsend, Jonathan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=8#tppubs\" > Flasch, Oliver<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=239#tppubs\" > Fl\u00fcgel, Albert<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=61#tppubs\" > Foussette, Christophe<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=157#tppubs\" > Fricke, B.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=216#tppubs\" > Fricke, Britta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=15#tppubs\" > Friese, Martina<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=238#tppubs\" > Fuhrmann, Stefan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=298#tppubs\" > Galitzki, Kevin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=74#tppubs\" > Guerra, Ricardo Ramos<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=390#tppubs\" > Hammer, Maximilian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=217#tppubs\" > Hardenack, Markus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=161#tppubs\" > Harders, A.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=220#tppubs\" > Harders, Albrecht<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=5#tppubs\" > Hein, Kristine<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=242#tppubs\" > Heistermann, Jochen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=180#tppubs\" > Henkenjohann, Nadine<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=105#tppubs\" > Hoos, Holger<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=241#tppubs\" > Hormel, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=103#tppubs\" > Hutter, Frank<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=153#tppubs\" > Janas, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=134#tppubs\" > Kajendran, Thusithan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=94#tppubs\" > Kantschik, Wolfgang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=2#tppubs\" > Koch, Patrick<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=289#tppubs\" > Konen, Wolfgang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=1#tppubs\" > Konen, Wolfgang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=231#tppubs\" > Kopecz, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=135#tppubs\" > Kosslers, Bj\u00f6rn<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=62#tppubs\" > Krause, Peter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=378#tppubs\" > Krystiniak, Noah<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=299#tppubs\" > Kutsch, Johannes<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=265#tppubs\" > Lades, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=372#tppubs\" > Lange, Moritz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=82#tppubs\" > Lasarczyk, Christian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=106#tppubs\" > Leyton-Brown, Kevin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=65#tppubs\" > Liebig, Kay N.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=195#tppubs\" > Limbourg, Philipp<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=223#tppubs\" >von der Malsburg, Christoph<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=147#tppubs\" > Markon, Sandor<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=66#tppubs\" > Maslehaty, Homajoun<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=230#tppubs\" > Maurer, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=96#tppubs\" > Mehnen, J\u00f6rn<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=388#tppubs\" > Meinen, Marcel J<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=387#tppubs\" > Meissner, Simon<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=92#tppubs\" > Mersmann, Olaf<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=178#tppubs\" > Michelitsch, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=107#tppubs\" > Murphy, Kevin P.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=118#tppubs\" > Naderi, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=16#tppubs\" > Naujoks, Boris<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=251#tppubs\" > Neumann, D.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=382#tppubs\" > Oedingen, Marc<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=22#tppubs\" > others,<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=39#tppubs\" > Oyetoyan, Tosin Daniel<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=32#tppubs\" > Oyetoyan, Tosin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=98#tppubs\" > Paquete, Luis<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=173#tppubs\" > Parsopoulos, Konstantinos E.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=160#tppubs\" > Pechlivanis, I.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=67#tppubs\" > Petridis, Athanasios K.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=136#tppubs\" > Polazek, Tomasz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=203#tppubs\" > Pompl, Marc<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=45#tppubs\" > Preuss, Mike<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=150#tppubs\" > Quagliarella, Domenico<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=76#tppubs\" > Ramos, Ricardo<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=383#tppubs\" > Raycheva, Ralitsa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=137#tppubs\" > Reimholz, Ralf<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=191#tppubs\" > Reinholz, Andreas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=373#tppubs\" > Reinicke, Ulf<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=112#tppubs\" > Rudolph, G\u00fcnter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=253#tppubs\" > Sali\u00e9, Henning<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=154#tppubs\" > Scheffermann, Robert<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=313#tppubs\" > Scheiermann, Johannes<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=138#tppubs\" > Schmidt, Jens<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=218#tppubs\" > Schmieder, Kirsten<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=139#tppubs\" > Schmitt, Karlheinz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=69#tppubs\" > Scholz, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=183#tppubs\" > Sch\u00f6nemann, Lutz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=232#tppubs\" > Schulze-Kr\u00fcger, Ekkehard<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=255#tppubs\" > Schwarz, Andreas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=184#tppubs\" > Schwefel, Hans-Paul<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=140#tppubs\" > Seis, Danny<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=384#tppubs\" > Seven, Meltem<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=294#tppubs\" > Sindhya, Karthik<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=141#tppubs\" > Slodzinski, Rafael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=286#tppubs\" > Stahl, Hans<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=142#tppubs\" > Steeg, Simon<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=159#tppubs\" > StephanTombrock,<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=75#tppubs\" > Stork, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=95#tppubs\" >von Strachwitz, Christian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=185#tppubs\" > Surmann, Tobias<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=35#tppubs\" > Tamutan, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=63#tppubs\" > Thill, Markus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=127#tppubs\" > Tombrock, Stephan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=254#tppubs\" > Tombrock,<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=177#tppubs\" >de Vegt, Marcel<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=91#tppubs\" > Vladislavleva, Katya<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=259#tppubs\" > Vorbr\u00fcggen, Jan C.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=196#tppubs\" > Vrahatis, Michae N.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=174#tppubs\" > Vrahatis, Michael N.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=46#tppubs\" > Wagner, Tobias<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=377#tppubs\" > Wang, Hao<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=275#tppubs\" > Weihs, Claus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=186#tppubs\" > Weinert, Klaus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=386#tppubs\" > Weitz, Ann<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=115#tppubs\" > Westenberger, Hartmut<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=143#tppubs\" > Wiemann, Nils<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=187#tppubs\" > Wiesmann, Dirk<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=252#tppubs\" > Wildf\u00f6rster, Ulrich<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=266#tppubs\" > Wiskott, Laurenz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=228#tppubs\" > W\u00fcrtz, Rolf P.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=44#tppubs\" > Zaefferer, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=385#tppubs\" > Zeh, Tim<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=179#tppubs\" > Zibold, Dmytro<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=42#tppubs\" > Ziegenhirt, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=36#tppubs\" > Zimmer, Tobias<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=144#tppubs\" > Zimmermann, Marc<\/option>\r\n                <\/select><select class=\"default\" name=\"usr\" id=\"usr\" tabindex=\"6\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;auth=&amp;usr=#tppubs\">Alle Benutzer<\/option>\r\n                   <option value = \"tgid=&amp;yr=&amp;type=&amp;auth=&amp;usr=38#tppubs\" >Wolfgang Konen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;auth=&amp;usr=41#tppubs\" >bagheri<\/option>\r\n                <\/select><\/div><\/form><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">265 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 6 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=6&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('541','tp_links')\" style=\"cursor:pointer;\">Exploring the Reliability of SHAP Values in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Longo, Luca;  Lapuschkin, Sebastian;  Seifert, Christin (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III, <\/span><span class=\"tp_pub_additional_pages\">S. 165\u2013184, <\/span><span class=\"tp_pub_additional_publisher\">Springer, <\/span><span class=\"tp_pub_additional_address\">Cham, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-031-63799-5<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('541','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('541','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=131#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Explainability; Reinforcement Learning; SHAP; Shapley Values; XAI<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_541\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2024b,<br \/>\r\ntitle = {Exploring the Reliability of SHAP Values in Reinforcement Learning},<br \/>\r\nauthor = {Raphael Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Luca Longo and Sebastian Lapuschkin and Christin Seifert},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf},<br \/>\r\ndoi = {10.1007\/978-3-031-63800-8},<br \/>\r\nisbn = {978-3-031-63799-5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-07-09},<br \/>\r\nbooktitle = {Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III},<br \/>\r\nvolume = {2155},<br \/>\r\npages = {165\u2013184},<br \/>\r\npublisher = {Springer},<br \/>\r\naddress = {Cham},<br \/>\r\nseries = {Communications in Computer and Information Science},<br \/>\r\nkeywords = {Explainability; Reinforcement Learning; SHAP; Shapley Values; XAI},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('541','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_541\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-63800-8\" title=\"Folge der DOI-Nummer:10.1007\/978-3-031-63800-8\" target=\"_blank\">doi:10.1007\/978-3-031-63800-8<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('541','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C;  Meinen, Marcel J;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('534','tp_links')\" style=\"cursor:pointer;\">Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2412.04974, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_534\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('534','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_534\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('534','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=117#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=116#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_534\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Engelhardt2024,<br \/>\r\ntitle = {Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task},<br \/>\r\nauthor = {Raphael C Engelhardt and Marcel J Meinen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/2412.04974},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2412.04974},<br \/>\r\nkeywords = {AI, decision trees, deep learning, explainable AI, Reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('534','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_534\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/2412.04974\" title=\"https:\/\/arxiv.org\/pdf\/2412.04974\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/2412.04974<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('534','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('535','tp_links')\" style=\"cursor:pointer;\">Beyond Trial and Error in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the DataNinja sAIOnARA 2024 Conference, <\/span><span class=\"tp_pub_additional_pages\">S. 58, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_535\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('535','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_535\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('535','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=120#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_535\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2024,<br \/>\r\ntitle = {Beyond Trial and Error in Reinforcement Learning},<br \/>\r\nauthor = {Moritz Lange and Raphael C Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page=63},<br \/>\r\ndoi = {10.11576\/dataninja-1156},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {Proceedings of the DataNinja sAIOnARA 2024 Conference},<br \/>\r\npages = {58},<br \/>\r\nkeywords = {Reinforcement learning, Representation learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('535','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_535\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page=63\" title=\"https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page[...]\" target=\"_blank\">https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.11576\/dataninja-1156\" title=\"Folge der DOI-Nummer:10.11576\/dataninja-1156\" target=\"_blank\">doi:10.11576\/dataninja-1156<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('535','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('536','tp_links')\" style=\"cursor:pointer;\">Interpretable brain-inspired representations improve RL performance on visual navigation tasks<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2402.12067, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_536\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('536','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_536\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('536','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=120#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_536\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lange2024a,<br \/>\r\ntitle = {Interpretable brain-inspired representations improve RL performance on visual navigation tasks},<br \/>\r\nauthor = {Moritz Lange and Raphael C Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/2402.12067},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2402.12067},<br \/>\r\nkeywords = {Reinforcement learning, Representation learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('536','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_536\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/2402.12067\" title=\"https:\/\/arxiv.org\/pdf\/2402.12067\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/2402.12067<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('536','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Raycheva, Ralitsa;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('537','tp_links')\" style=\"cursor:pointer;\">\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, <\/span><span class=\"tp_pub_additional_publisher\">Springer Nature Switzerland, Imprint: Springer, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_537\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('537','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_537\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('537','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=124#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Cybernetics<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=122#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Deep Reinforcement Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=123#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Large Action Space<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=125#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Serious Games<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_537\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2024a,<br \/>\r\ntitle = {\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning},<br \/>\r\nauthor = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nbooktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},<br \/>\r\npublisher = {Springer Nature Switzerland, Imprint: Springer},<br \/>\r\nkeywords = {Cybernetics, Deep Reinforcement Learning, Large Action Space, RL3, Serious Games},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('537','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_537\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('537','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Krystiniak, Noah;  Engelhardt, Raphael C.;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('538','tp_links')\" style=\"cursor:pointer;\">Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, <\/span><span class=\"tp_pub_additional_publisher\">Springer Nature Switzerland, Imprint: Springer, <\/span><span class=\"tp_pub_additional_year\">2024<\/span><span class=\"tp_pub_additional_note\">, (Best Paper Award)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_538\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('538','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_538\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('538','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=121#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">auxiliary tasks<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=120#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_538\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2024b,<br \/>\r\ntitle = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},<br \/>\r\nauthor = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nurl = {https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nbooktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},<br \/>\r\npublisher = {Springer Nature Switzerland, Imprint: Springer},<br \/>\r\nnote = {Best Paper Award},<br \/>\r\nkeywords = {auxiliary tasks, Reinforcement learning, Representation learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('538','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_538\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5\" title=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5\" target=\"_blank\">https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('538','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('539','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2405.15512, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_539\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('539','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_539\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('539','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=129#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">ChatGPT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=128#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Code Detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=130#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Large Language Models<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_539\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2405.15512},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2405.15512},<br \/>\r\nkeywords = {AI, ChatGPT, Code Detection, Large Language Models, machine learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('539','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_539\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2405.15512\" title=\"https:\/\/arxiv.org\/abs\/2405.15512\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2405.15512<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('539','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('540','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">AI, <\/span><span class=\"tp_pub_additional_volume\">Bd. 5, <\/span><span class=\"tp_pub_additional_number\">Nr. 3, <\/span><span class=\"tp_pub_additional_pages\">S. 1066\u20131094, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2673-2688<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('540','tp_abstract')\" title=\"Zeige Abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('540','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('540','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=129#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">ChatGPT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=128#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Code Detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=130#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Large Language Models<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_540\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024a,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53},<br \/>\r\ndoi = {10.3390\/ai5030053},<br \/>\r\nissn = {2673-2688},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {AI},<br \/>\r\nvolume = {5},<br \/>\r\nnumber = {3},<br \/>\r\npages = {1066\u20131094},<br \/>\r\nabstract = {In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.},<br \/>\r\nkeywords = {AI, ChatGPT, Code Detection, Large Language Models, machine learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('540','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_540\" style=\"display:none;\"><div class=\"tp_abstract_entry\">In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('540','tp_abstract')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_540\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" title=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" target=\"_blank\">https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/ai5030053\" title=\"Folge der DOI-Nummer:10.3390\/ai5030053\" target=\"_blank\">doi:10.3390\/ai5030053<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('540','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Krystiniak, Noah;  Engelhardt, Raphael C.;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\">Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_523\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('523','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=121#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">auxiliary tasks<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=120#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_523\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2023,<br \/>\r\ntitle = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},<br \/>\r\nauthor = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nbooktitle = {9th International Conference on machine Learning, Optimization, and Data Science (LOD2023)},<br \/>\r\nkeywords = {auxiliary tasks, Reinforcement learning, Representation learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('523','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('524','tp_links')\" style=\"cursor:pointer;\">Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2301.12167, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_524\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('524','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_524\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('524','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_524\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Konen2023,<br \/>\r\ntitle = {Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2301.12167},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nurldate = {2023-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2301.12167},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('524','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_524\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2301.12167\" title=\"https:\/\/arxiv.org\/abs\/2301.12167\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2301.12167<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('524','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C;  Oedingen, Marc;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('525','tp_links')\" style=\"cursor:pointer;\">Iterative Oblique Decision Trees Deliver Explainable RL Models<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Algorithms, <\/span><span class=\"tp_pub_additional_volume\">Bd. 16, <\/span><span class=\"tp_pub_additional_number\">Nr. 6, <\/span><span class=\"tp_pub_additional_pages\">S. 282, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_525\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('525','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_525\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('525','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=117#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=116#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_525\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Engelhardt2023,<br \/>\r\ntitle = {Iterative Oblique Decision Trees Deliver Explainable RL Models},<br \/>\r\nauthor = {Raphael C Engelhardt and Marc Oedingen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nurldate = {2023-01-01},<br \/>\r\njournal = {Algorithms},<br \/>\r\nvolume = {16},<br \/>\r\nnumber = {6},<br \/>\r\npages = {282},<br \/>\r\npublisher = {MDPI},<br \/>\r\nkeywords = {AI, decision trees, deep learning, explainable AI, Reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('525','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_525\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282\" title=\"https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282\" target=\"_blank\">https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('525','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Raycheva, Ralitsa;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('526','tp_links')\" style=\"cursor:pointer;\">\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_526\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('526','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_526\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('526','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=124#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Cybernetics<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=122#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Deep Reinforcement Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=123#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Large Action Space<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=125#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Serious Games<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_526\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2023a,<br \/>\r\ntitle = {\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning},<br \/>\r\nauthor = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nurldate = {2023-01-01},<br \/>\r\nbooktitle = {9th International Conference on machine Learning, Optimization, and Data Science (LOD2023)},<br \/>\r\nkeywords = {Cybernetics, Deep Reinforcement Learning, Game Learning, Large Action Space, Serious Games},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('526','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_526\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('526','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Seven, Meltem<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('527','tp_links')\" style=\"cursor:pointer;\">KI-Agenten im Vergleich: Erfolg von Agenten des Ludii General Game Systems in Partien gegen perfekte oder starke Agenten am Beispiel der Spiele Vier Gewinnt, Nim und Othello<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2023<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_527\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('527','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_527\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('527','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=126#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Ludii<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_527\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Seven2023,<br \/>\r\ntitle = {KI-Agenten im Vergleich: Erfolg von Agenten des Ludii General Game Systems in Partien gegen perfekte oder starke Agenten am Beispiel der Spiele Vier Gewinnt, Nim und Othello},<br \/>\r\nauthor = {Meltem Seven},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Meltem-Seven-final.pdf},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {BT-MT, Game Learning, GBG, Ludii},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('527','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_527\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Meltem-Seven-final.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Meltem-Seven-final.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Meltem-Seven-final.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('527','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('516','tp_links')\" style=\"cursor:pointer;\">The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">TH K\u00f6ln <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_516\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('516','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_516\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('516','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_516\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Konen2022,<br \/>\r\ntitle = {The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-09-01},<br \/>\r\ninstitution = {TH K\u00f6ln},<br \/>\r\nschool = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('516','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_516\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('516','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Weitz, Ann<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('530','tp_links')\" style=\"cursor:pointer;\">Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2022<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_530\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('530','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_530\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('530','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_530\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Weitz2022b,<br \/>\r\ntitle = {Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath},<br \/>\r\nauthor = {Ann Weitz},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Weitz-final-2022.pdf},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-05-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('530','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_530\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Weitz-final-2022.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Weitz-final-2022.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Weitz-final-2022.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('530','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Weitz, Ann<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('529','tp_links')\" style=\"cursor:pointer;\">Entwicklung einer allgemeinen Schnittstelle zwischen Ludii und dem GBG Framework<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_year\">2022<\/span><span class=\"tp_pub_additional_note\">, (Praxisprojekt)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_529\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('529','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_529\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('529','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=126#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Ludii<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_529\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Weitz2022,<br \/>\r\ntitle = {Entwicklung einer allgemeinen Schnittstelle zwischen Ludii und dem GBG Framework},<br \/>\r\nauthor = {Ann Weitz},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/PP-Doku-Weitz-2022-02.pdf},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-02-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Praxisprojekt},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, Ludii, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('529','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_529\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/PP-Doku-Weitz-2022-02.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/PP-Doku-Weitz-2022-02.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/PP-Doku-Weitz-2022-02.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('529','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> C\u00f6ln, Julian<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('532','tp_links')\" style=\"cursor:pointer;\">KI-Konzepte f\u00fcr das Erlernen nicht-deterministischer Spiele am Beispiel von \"EinStein w\u00fcrfelt nicht!\"<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2022<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_532\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('532','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_532\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('532','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_532\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Coeln2022,<br \/>\r\ntitle = {KI-Konzepte f\u00fcr das Erlernen nicht-deterministischer Spiele am Beispiel von \"EinStein w\u00fcrfelt nicht!\"},<br \/>\r\nauthor = {Julian C\u00f6ln},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Julian_Coeln2021-final.pdf},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-02-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, GBG, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('532','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_532\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Julian_Coeln2021-final.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Julian_Coeln2021-final.pd[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Julian_Coeln2021-final.pd[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('532','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\">Sample-based Rule Extraction for Explainable Reinforcement Learning <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_515\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('515','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=117#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=116#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_515\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engel2022,<br \/>\r\ntitle = {Sample-based Rule Extraction for Explainable Reinforcement Learning},<br \/>\r\nauthor = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nbooktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},<br \/>\r\nkeywords = {decision trees, deep learning, explainable AI, Reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('515','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Scheiermann, Johannes;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('517','tp_links')\" style=\"cursor:pointer;\">AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2204.13307, <\/span><span class=\"tp_pub_additional_year\">2022<\/span><span class=\"tp_pub_additional_note\">, (Preprint of the IEEE ToG 2022 paper)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_517\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('517','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_517\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('517','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_517\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Scheier2022arXiv,<br \/>\r\ntitle = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},<br \/>\r\nauthor = {Johannes Scheiermann and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2204.13307},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2204.13307},<br \/>\r\nnote = {Preprint of the IEEE ToG 2022 paper},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('517','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_517\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2204.13307\" title=\"https:\/\/arxiv.org\/abs\/2204.13307\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2204.13307<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('517','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Scheiermann, Johannes;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('518','tp_links')\" style=\"cursor:pointer;\">AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Games, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_518\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('518','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_518\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('518','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_518\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Scheier2022,<br \/>\r\ntitle = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},<br \/>\r\nauthor = {Johannes Scheiermann and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/ieeexplore.ieee.org\/document\/9893320},<br \/>\r\ndoi = {10.1109\/TG.2022.3206733},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nurldate = {2022-01-01},<br \/>\r\njournal = {IEEE Transactions on Games},<br \/>\r\nkeywords = {AI, deep learning, Game Learning, GBG, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('518','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_518\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9893320\" title=\"https:\/\/ieeexplore.ieee.org\/document\/9893320\" target=\"_blank\">https:\/\/ieeexplore.ieee.org\/document\/9893320<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TG.2022.3206733\" title=\"Folge der DOI-Nummer:10.1109\/TG.2022.3206733\" target=\"_blank\">doi:10.1109\/TG.2022.3206733<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('518','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2021\">2021<\/h3><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Meissner, Simon<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('533','tp_links')\" style=\"cursor:pointer;\">Untersuchung des Spiel- und Lernerfolgs k\u00fcnstlicher Intelligenzen f\u00fcr ein nichtdeterministisches Spiel mit imperfekten Informationen: Blackjack in der Game-Learning-Umgebung \u2019General Board Game\u2019 (GBG)<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2021<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_533\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('533','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_533\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('533','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_533\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Meissner2021,<br \/>\r\ntitle = {Untersuchung des Spiel- und Lernerfolgs k\u00fcnstlicher Intelligenzen f\u00fcr ein nichtdeterministisches Spiel mit imperfekten Informationen: Blackjack in der Game-Learning-Umgebung \u2019General Board Game\u2019 (GBG)},<br \/>\r\nauthor = {Simon Meissner},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Meissner-final-2021.pdf},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-12-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, GBG, machine learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('533','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_533\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Meissner-final-2021.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Meissner-final-2021.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-Meissner-final-2021.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('533','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Zeh, Tim<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('528','tp_links')\" style=\"cursor:pointer;\">Untersuchung von allgemeinen KI-Agenten f\u00fcr das Spiel Poker im General Board Games Framework<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2021<\/span><span class=\"tp_pub_additional_note\">, (Master thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_528\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('528','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_528\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('528','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_528\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Zeh2021,<br \/>\r\ntitle = {Untersuchung von allgemeinen KI-Agenten f\u00fcr das Spiel Poker im General Board Games Framework},<br \/>\r\nauthor = {Tim Zeh},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_Zeh_final_Poker-GBG-2021.pdf},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-07-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Master thesis},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, GBG, machine learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('528','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_528\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_Zeh_final_Poker-GBG-2021.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_Zeh_final_Poker-GBG-2021.[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_Zeh_final_Poker-GBG-2021.[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('528','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Reinicke, Ulf;  Anders, Denis;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('519','tp_links')\" style=\"cursor:pointer;\">Surrogate-assisted optimization for augmentation of finite element techniques<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Computational Science, <\/span><span class=\"tp_pub_additional_volume\">Bd. 54, <\/span><span class=\"tp_pub_additional_pages\">S. 101427, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_519\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('519','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_519\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('519','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=119#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">FEM<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_519\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bagheri2021,<br \/>\r\ntitle = {Surrogate-assisted optimization for augmentation of finite element techniques},<br \/>\r\nauthor = {Samineh Bagheri and Ulf Reinicke and Denis Anders and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.jocs.2021.101427},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Journal of Computational Science},<br \/>\r\nvolume = {54},<br \/>\r\npages = {101427},<br \/>\r\npublisher = {Elsevier},<br \/>\r\nkeywords = {FEM, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('519','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_519\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1016\/j.jocs.2021.101427\" title=\"https:\/\/doi.org\/10.1016\/j.jocs.2021.101427\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.jocs.2021.101427<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('519','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('520','tp_links')\" style=\"cursor:pointer;\">Shedding light into the black box of reinforcement learning - extended abstract<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hammer, Barbara;  Schilling, Malte;  Wiskott, Laurenz (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_520\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('520','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_520\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('520','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=117#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=116#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=118#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_520\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engel2021,<br \/>\r\ntitle = {Shedding light into the black box of reinforcement learning - extended abstract},<br \/>\r\nauthor = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abstract.pdf},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\nbooktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},<br \/>\r\nkeywords = {decision trees, deep learning, explainable AI, Reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('520','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_520\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abstract.pdf\" title=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abst[...]\" target=\"_blank\">https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abst[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('520','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Bagheri, Samineh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('521','tp_links')\" style=\"cursor:pointer;\">Final adaptation reinforcement learning for N-player games<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2111.14375, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_521\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('521','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_521\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('521','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_521\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Konen2021,<br \/>\r\ntitle = {Final adaptation reinforcement learning for N-player games},<br \/>\r\nauthor = {Wolfgang Konen and Samineh Bagheri},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2111.14375},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2111.14375},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('521','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_521\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2111.14375\" title=\"https:\/\/arxiv.org\/abs\/2111.14375\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2111.14375<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('521','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  Wang, Hao;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('522','tp_links')\" style=\"cursor:pointer;\">Temporal convolutional autoencoder for unsupervised anomaly detection in time series<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Applied Soft Computing, <\/span><span class=\"tp_pub_additional_volume\">Bd. 112, <\/span><span class=\"tp_pub_additional_pages\">S. 107751, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_522\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('522','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_522\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('522','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=89#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=104#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TCN<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=90#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_522\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Thill2021,<br \/>\r\ntitle = {Temporal convolutional autoencoder for unsupervised anomaly detection in time series},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Hao Wang and Thomas B\u00e4ck},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.asoc.2021.107751},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Applied Soft Computing},<br \/>\r\nvolume = {112},<br \/>\r\npages = {107751},<br \/>\r\npublisher = {Elsevier},<br \/>\r\nkeywords = {anomaly detection, deep learning, TCN, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('522','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_522\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1016\/j.asoc.2021.107751\" title=\"https:\/\/doi.org\/10.1016\/j.asoc.2021.107751\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.asoc.2021.107751<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('522','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_phdthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh<\/p><p class=\"tp_pub_title\">Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems <span class=\"tp_pub_type tp_  phdthesis\">Promotionsarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">Leiden University and TH K\u00f6ln, <\/span><span class=\"tp_pub_additional_year\">2020<\/span><span class=\"tp_pub_additional_note\">, (PhD thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_514\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('514','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=114#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RBF<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_514\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@phdthesis{Bagheri2020,<br \/>\r\ntitle = {Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems},<br \/>\r\nauthor = {Samineh Bagheri},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-04-01},<br \/>\r\ninstitution = {Institut f\u00fcr Informatik},<br \/>\r\nschool = {Leiden University and TH K\u00f6ln},<br \/>\r\nnote = {PhD thesis},<br \/>\r\nkeywords = {BT-MT, machine learning, MONREP, optimization, RBF, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {phdthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('514','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Bagheri, Samineh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('512','tp_links')\" style=\"cursor:pointer;\">Final Adaptation Reinforcement Learning for N-Player Games<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_512\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('512','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_512\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('512','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_512\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Konen20b_TRb,<br \/>\r\ntitle = {Final Adaptation Reinforcement Learning for N-Player Games},<br \/>\r\nauthor = {Wolfgang Konen and Samineh Bagheri},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('512','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_512\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('512','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('513','tp_links')\" style=\"cursor:pointer;\">The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_513\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('513','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_513\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('513','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_513\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Konen20d,<br \/>\r\ntitle = {The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('513','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_513\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('513','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('368','tp_links')\" style=\"cursor:pointer;\">Die CO2-Kosten des Video-Streaming<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Die Neue Hochschule (dnh), <\/span><span class=\"tp_pub_additional_volume\">Bd. 3, <\/span><span class=\"tp_pub_additional_pages\">S. 18-19, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_368\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('368','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_368\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('368','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">digital content<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=102#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">online teaching<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=101#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">video streaming<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_368\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Konen20c,<br \/>\r\ntitle = {Die CO2-Kosten des Video-Streaming},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh_2020-3_vorveroffentlichung_beitrag_konen.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Die Neue Hochschule (dnh)},<br \/>\r\nvolume = {3},<br \/>\r\npages = {18-19},<br \/>\r\nkeywords = {digital content, online teaching, video streaming},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('368','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_368\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh_2020-3_vorveroffentlichung_beitrag_konen.pdf\" title=\"https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh[...]\" target=\"_blank\">https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('368','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('369','tp_links')\" style=\"cursor:pointer;\">Time Series Encodings with Temporal Convolutional Networks<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Vasile, Bogdan Filipic Massimiliano (Hrsg.): <span class=\"tp_pub_additional_booktitle\">9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_369\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('369','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_369\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('369','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=89#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=104#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TCN<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=90#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_369\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill20a,<br \/>\r\ntitle = {Time Series Encodings with Temporal Convolutional Networks},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Bogdan Filipic Massimiliano Vasile},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nbooktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},<br \/>\r\nkeywords = {anomaly detection, deep learning, TCN, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('369','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_369\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('369','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Scheiermann, Johannes<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('371','tp_links')\" style=\"cursor:pointer;\">Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello st\u00e4rker als (untrainierte) General-Game-Playing Agenten?<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">TH K\u00f6ln, Institut f\u00fcr Informatik <\/span><span class=\"tp_pub_additional_year\">2020<\/span><span class=\"tp_pub_additional_note\">, (Praxisprojekt)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_371\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('371','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_371\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('371','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_371\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Scheier2020,<br \/>\r\ntitle = {Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello st\u00e4rker als (untrainierte) General-Game-Playing Agenten?},<br \/>\r\nauthor = {Johannes Scheiermann},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Prj-Scheiermann-2020-08.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\ninstitution = {TH K\u00f6ln, Institut f\u00fcr Informatik},<br \/>\r\nnote = {Praxisprojekt},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('371','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_371\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Prj-Scheiermann-2020-08.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Prj-Scheiermann-2020-08.p[...]\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Prj-Scheiermann-2020-08.p[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('371','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Scheiermann, Johannes<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('372','tp_links')\" style=\"cursor:pointer;\">AlphaZero-inspirierte KI-Agenten im General Board Game Playing<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln -- University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2020<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_372\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('372','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_372\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('372','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_372\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Scheier2020b,<br \/>\r\ntitle = {AlphaZero-inspirierte KI-Agenten im General Board Game Playing},<br \/>\r\nauthor = {Johannes Scheiermann},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Scheiermann_final.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nschool = {TH K\u00f6ln -- University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('372','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_372\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Scheiermann_final.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Scheiermann_final.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Scheiermann_final.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('372','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Bagheri, Samineh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('511','tp_links')\" style=\"cursor:pointer;\">Reinforcement Learning for N-Player Games: The Importance of Final Adaptation<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Vasile, Bogdan Filipic Massimiliano (Hrsg.): <span class=\"tp_pub_additional_booktitle\">9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), <\/span><span class=\"tp_pub_additional_address\">Bruxelles, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_511\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('511','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_511\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('511','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_511\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Konen20bc,<br \/>\r\ntitle = {Reinforcement Learning for N-Player Games: The Importance of Final Adaptation},<br \/>\r\nauthor = {Wolfgang Konen and Samineh Bagheri},<br \/>\r\neditor = {Bogdan Filipic Massimiliano Vasile},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nbooktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},<br \/>\r\naddress = {Bruxelles},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('511','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_511\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('511','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2019\">2019<\/h3><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> C\u00f6ln, Julian;  Dittmar, Yannick<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('373','tp_links')\" style=\"cursor:pointer;\">Untersuchung von KI Agenten im Spiel Othello<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">TH K\u00f6ln, Institut f\u00fcr Informatik <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_373\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('373','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_373\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('373','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_373\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{C\u00f6ln2019,<br \/>\r\ntitle = {Untersuchung von KI Agenten im Spiel Othello},<br \/>\r\nauthor = {Julian C\u00f6ln and Yannick Dittmar},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Proj-DittmarCoeln-2019-12.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-12-01},<br \/>\r\ninstitution = {TH K\u00f6ln, Institut f\u00fcr Informatik},<br \/>\r\nkeywords = {AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('373','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_373\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Proj-DittmarCoeln-2019-12.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Proj-DittmarCoeln-2019-12[...]\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/INF-Proj-DittmarCoeln-2019-12[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('373','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('363','tp_links')\" style=\"cursor:pointer;\">General Board Game Playing for Education and Research in Generic AI Game Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Perez, Diego;  Mostaghim, Sanaz;  Lucas, Simon (Hrsg.): <span class=\"tp_pub_additional_booktitle\">IEEE Conference on Games, <\/span><span class=\"tp_pub_additional_address\">London, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_363\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('363','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_363\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('363','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=87#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=2#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_363\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Konen19b,<br \/>\r\ntitle = {General Board Game Playing for Education and Research in Generic AI Game Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\neditor = {Diego Perez and Sanaz Mostaghim and Simon Lucas},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/1907.06508},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-08-20},<br \/>\r\nbooktitle = {IEEE Conference on Games},<br \/>\r\naddress = {London},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('363','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_363\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/1907.06508\" title=\"https:\/\/arxiv.org\/pdf\/1907.06508\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/1907.06508<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('363','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('358','tp_links')\" style=\"cursor:pointer;\">Solving Optimization Problems with High Conditioning by Means of Online Whitening<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Lopez-Ibanez, Manuel (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, <\/span><span class=\"tp_pub_additional_pages\">S. 243-244, <\/span><span class=\"tp_pub_additional_publisher\">ACM, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_358\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('358','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_358\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('358','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=81#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_358\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh19c,<br \/>\r\ntitle = {Solving Optimization Problems with High Conditioning by Means of Online Whitening},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Manuel Lopez-Ibanez},<br \/>\r\nurl = {http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-07-01},<br \/>\r\nbooktitle = {Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague},<br \/>\r\npages = {243-244},<br \/>\r\npublisher = {ACM},<br \/>\r\nkeywords = {CI, constraints, MONREP, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('358','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_358\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf\" title=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf\" target=\"_blank\">http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('358','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('360','tp_links')\" style=\"cursor:pointer;\">SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">arXiv preprint arXiv:1904.08397 <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_360\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('360','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_360\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('360','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_360\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Bagh19b,<br \/>\r\ntitle = {SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/1904.08397},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-07-01},<br \/>\r\ninstitution = {arXiv preprint arXiv:1904.08397},<br \/>\r\nkeywords = {optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('360','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_360\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/1904.08397\" title=\"https:\/\/arxiv.org\/abs\/1904.08397\" target=\"_blank\">https:\/\/arxiv.org\/abs\/1904.08397<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('360','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\">How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">at-Automatisierungstechnik, <\/span><span class=\"tp_pub_additional_volume\">Bd. submitted, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_359\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('359','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_359\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bagh19a,<br \/>\r\ntitle = {How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\njournal = {at-Automatisierungstechnik},<br \/>\r\nvolume = {submitted},<br \/>\r\nkeywords = {optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('359','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_misc\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Buhl, Henning;  Konen, Wolfgang;  Thill, Markus<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('361','tp_links')\" style=\"cursor:pointer;\">Deep Learning mit Keras und Tensorflow<\/a> <span class=\"tp_pub_type tp_  misc\">Sonstige<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_howpublished\">Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_361\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('361','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_361\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('361','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_361\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@misc{Buhl19,<br \/>\r\ntitle = {Deep Learning mit Keras und Tensorflow},<br \/>\r\nauthor = {Henning Buhl and Wolfgang Konen and Markus Thill},<br \/>\r\nurl = {https:\/\/github.com\/HenningBuhl\/DLKTF},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\nhowpublished = {Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019)},<br \/>\r\nkeywords = {deep learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {misc}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('361','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_361\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fab fa-github\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/github.com\/HenningBuhl\/DLKTF\" title=\"https:\/\/github.com\/HenningBuhl\/DLKTF\" target=\"_blank\">https:\/\/github.com\/HenningBuhl\/DLKTF<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('361','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Barsnick, Felix<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('364','tp_links')\" style=\"cursor:pointer;\">Implementierung und Untersuchung eines Turniersystems f\u00fcr KI-Agenten in Brettspielen<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln -- University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (Master thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_364\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('364','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_364\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('364','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BT-MT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=99#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Elo<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=1#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=100#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Glicko<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=15#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_364\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Barsnick2019,<br \/>\r\ntitle = {Implementierung und Untersuchung eines Turniersystems f\u00fcr KI-Agenten in Brettspielen},<br \/>\r\nauthor = {Felix Barsnick},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_MMI_Barsnick-2019-04-final.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\ninstitution = {Institut f\u00fcr Informatik},<br \/>\r\nschool = {TH K\u00f6ln -- University of Applied Sciences},<br \/>\r\nnote = {Master thesis},<br \/>\r\nkeywords = {BT-MT, Elo, Game Learning, GBG, Glicko, machine learning, Reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('364','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_364\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_MMI_Barsnick-2019-04-final.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_MMI_Barsnick-2019-04-final[...]\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/MA_MMI_Barsnick-2019-04-final[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('364','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  D\u00e4ubner, Sina;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('370','tp_links')\" style=\"cursor:pointer;\">Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> \u00e1, Petra Baranc\u00edkov;  Holena, Martin;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (Best Paper Award)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_370\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('370','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_370\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('370','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=89#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=105#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">LSTM<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=90#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_370\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill2019a,<br \/>\r\ntitle = {Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks},<br \/>\r\nauthor = {Markus Thill and Sina D\u00e4ubner and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Petra Baranc\u00edkov \u00e1 and Martin Holena and others},<br \/>\r\nurl = {http:\/\/ceur-ws.org\/Vol-2473},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\nbooktitle = {Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019)},<br \/>\r\nvolume = {2473},<br \/>\r\nseries = {CEUR Workshop Proceedings},<br \/>\r\nnote = {Best Paper Award},<br \/>\r\nkeywords = {anomaly detection, deep learning, LSTM, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('370','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_370\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/ceur-ws.org\/Vol-2473\" title=\"http:\/\/ceur-ws.org\/Vol-2473\" target=\"_blank\">http:\/\/ceur-ws.org\/Vol-2473<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('370','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2018\">2018<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('357','tp_links')\" style=\"cursor:pointer;\">How to Solve the Dilemma of Margin-Based Equality Handling Methods<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hoffmann, Frank;  H\u00fcllermeier, Eyke;  Mikut, Ralf (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, <\/span><span class=\"tp_pub_additional_pages\">S. 257-270, <\/span><span class=\"tp_pub_additional_publisher\">KIT Scientific Publishing, Karlsruhe, <\/span><span class=\"tp_pub_additional_year\">2018<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-7315-0845-8<\/span><span class=\"tp_pub_additional_note\">, (Young Author Award)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_357\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('357','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_357\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('357','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=97#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">equality constraint<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_357\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagheri2018,<br \/>\r\ntitle = {How to Solve the Dilemma of Margin-Based Equality Handling Methods},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck },<br \/>\r\neditor = {Frank Hoffmann and Eyke H\u00fcllermeier and Ralf Mikut },<br \/>\r\nurl = {https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf},<br \/>\r\ndoi = {10.5445\/KSP\/1000085935},<br \/>\r\nisbn = {978-3-7315-0845-8},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-11-29},<br \/>\r\nbooktitle = {Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018},<br \/>\r\npages = {257-270},<br \/>\r\npublisher = {KIT Scientific Publishing, Karlsruhe},<br \/>\r\nnote = {Young Author Award},<br \/>\r\nkeywords = {equality constraint, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('357','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_357\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf\" title=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf\" target=\"_blank\">https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.5445\/KSP\/1000085935\" title=\"Folge der DOI-Nummer:10.5445\/KSP\/1000085935\" target=\"_blank\">doi:10.5445\/KSP\/1000085935<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('357','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('356','tp_links')\" style=\"cursor:pointer;\">Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">TH K\u00f6ln - University of Applied Science, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18a.d\/AoDS2018.pdf)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_356\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('356','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_356\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('356','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=89#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=91#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">DWT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=94#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">maximum likelihood estimation<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=90#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=93#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">wavelet transform<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_356\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Thill2018,<br \/>\r\ntitle = {Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-11-01},<br \/>\r\naddress = {TH K\u00f6ln - University of Applied Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18a.d\/AoDS2018.pdf},<br \/>\r\nkeywords = {anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('356','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_356\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('356','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Koch, Patrick<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('354','tp_links')\" style=\"cursor:pointer;\">The TDMR 2.0 Package: Tuned Data Mining in R<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, <\/span><span class=\"tp_pub_additional_number\">Nr. 02\/2018, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (Last update: April 2018 (original version: 2012))<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_354\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('354','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_354\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('354','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=92#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">parameter tuning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=77#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SOMA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=11#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TDMR<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_354\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Kone18a,<br \/>\r\ntitle = {The TDMR 2.0 Package: Tuned Data Mining in R},<br \/>\r\nauthor = {Wolfgang Konen and Patrick Koch},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-04-01},<br \/>\r\nnumber = {02\/2018},<br \/>\r\naddress = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {Last update: April 2018 (original version: 2012)},<br \/>\r\nkeywords = {parameter tuning, SOMA, TDMR},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('354','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_354\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('354','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Koch, Patrick<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('355','tp_links')\" style=\"cursor:pointer;\">The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, <\/span><span class=\"tp_pub_additional_number\">Nr. 03\/2018, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (Last update: April 2018 (original version: 2012))<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_355\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('355','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_355\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('355','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=92#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">parameter tuning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=77#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SOMA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=11#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TDMR<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_355\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Kone18b,<br \/>\r\ntitle = {The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R},<br \/>\r\nauthor = {Wolfgang Konen and Patrick Koch},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-04-01},<br \/>\r\nnumber = {03\/2018},<br \/>\r\naddress = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {Last update: April 2018 (original version: 2012)},<br \/>\r\nkeywords = {parameter tuning, SOMA, TDMR},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('355','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_355\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('355','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2017\">2017<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('347','tp_links')\" style=\"cursor:pointer;\">Comparing Kriging and Radial Basis Function Surrogates<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hoffmann, Frank;  H\u00fcllermeier, Eyke (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proceedings 27. Workshop Computational Intelligence, <\/span><span class=\"tp_pub_additional_pages\">S. 243-259, <\/span><span class=\"tp_pub_additional_publisher\">Universit\u00e4tsverlag Karlsruhe, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_347\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('347','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_347\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('347','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=81#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=82#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Kriging<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_347\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh17c,<br \/>\r\ntitle = {Comparing Kriging and Radial Basis Function Surrogates},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Frank Hoffmann and Eyke H\u00fcllermeier},<br \/>\r\nurl = {http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/10\/Bagheri2017-1.pdf<br \/>\r\n<br \/>\r\nhttps:\/\/publikationen.bibliothek.kit.edu\/1000074341<br \/>\r\n<br \/>\r\nhttps:\/\/www.researchgate.net\/publication\/328222483_Comparing_Kriging_and_Radial_Basis_Function_Surrogates<br \/>\r\n<br \/>\r\n},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-11-01},<br \/>\r\nbooktitle = {Proceedings 27. Workshop Computational Intelligence},<br \/>\r\npages = {243-259},<br \/>\r\npublisher = {Universit\u00e4tsverlag Karlsruhe},<br \/>\r\nkeywords = {CI, constraints, Kriging, MONREP, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('347','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_347\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/10\/Bagheri2017-1.pdf\" title=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/10\/Bagheri2017-1.pdf\" target=\"_blank\">http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/10\/Bagheri2017-1.pdf<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" title=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" target=\"_blank\">https:\/\/publikationen.bibliothek.kit.edu\/1000074341<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.researchgate.net\/publication\/328222483_Comparing_Kriging_and_Radial_Basis_Function_Surrogates\" title=\"https:\/\/www.researchgate.net\/publication\/328222483_Comparing_Kriging_and_Radial_[...]\" target=\"_blank\">https:\/\/www.researchgate.net\/publication\/328222483_Comparing_Kriging_and_Radial_[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('347','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('351','tp_links')\" style=\"cursor:pointer;\">Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hoffmann, Frank;  H\u00fcllermeier, Eyke (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proceedings 27. Workshop Computational Intelligence, <\/span><span class=\"tp_pub_additional_pages\">S. 67-71, <\/span><span class=\"tp_pub_additional_publisher\">Universit\u00e4tsverlag Karlsruhe, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_351\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('351','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_351\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('351','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=89#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=91#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">DWT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=90#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_351\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill2017c,<br \/>\r\ntitle = {Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Frank Hoffmann and Eyke H\u00fcllermeier},<br \/>\r\nurl = {https:\/\/publikationen.bibliothek.kit.edu\/1000074341},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-11-01},<br \/>\r\nbooktitle = {Proceedings 27. Workshop Computational Intelligence},<br \/>\r\npages = {67-71},<br \/>\r\npublisher = {Universit\u00e4tsverlag Karlsruhe},<br \/>\r\nkeywords = {anomaly detection, DWT, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('351','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_351\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" title=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" target=\"_blank\">https:\/\/publikationen.bibliothek.kit.edu\/1000074341<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('351','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  Allmendinger, Richard;  Branke, J\u00fcrgen;  Deb, Kalyanmoy;  Fieldsend, Jonathan;  Quagliarella, Domenico;  Sindhya, Karthik<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('338','tp_links')\" style=\"cursor:pointer;\">Constraint Handling in Efficient Global Optimization<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Bosman, Peter A N (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, <\/span><span class=\"tp_pub_additional_pages\">S. 1, <\/span><span class=\"tp_pub_additional_publisher\">ACM, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_338\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('338','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_338\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('338','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=81#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=82#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Kriging<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=14#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=96#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_338\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh17a,<br \/>\r\ntitle = {Constraint Handling in Efficient Global Optimization},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Richard Allmendinger and J\u00fcrgen Branke and Kalyanmoy Deb and Jonathan Fieldsend and Domenico Quagliarella and Karthik Sindhya},<br \/>\r\neditor = {Peter A N Bosman},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-07-01},<br \/>\r\nbooktitle = {Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin},<br \/>\r\npages = {1},<br \/>\r\npublisher = {ACM},<br \/>\r\nkeywords = {CI, constraints, Kriging, MONREP, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('338','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_338\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('338','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('350','tp_links')\" style=\"cursor:pointer;\">Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Valenzuela, Olga;  Rojas, Ignacio;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">International Work-Conference on Time Series (ITISE2017), <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_350\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('350','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_350\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('350','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=89#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=91#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">DWT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?tgid=90#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_350\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill17b-ITISE,<br \/>\r\ntitle = {Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Olga Valenzuela and Ignacio Rojas and others},<br \/>\r\nurl = {http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/01\/thillwavelet.pdf},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-07-01},<br \/>\r\nbooktitle = {International Work-Conference on Time Series (ITISE2017)},<br \/>\r\nkeywords = {anomaly detection, DWT, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('350','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_350\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/01\/thillwavelet.pdf\" title=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/01\/thillwavelet.pdf\" target=\"_blank\">http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/01\/thillwavelet.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('350','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><\/div><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">265 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 6 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=6&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><\/div>\n<\/p>\n<p>\n\t&nbsp;\n<\/p>\n<hr style=\"line-height: 16.6399993896484px\" \/>\n<h2><a name=\"searchfield\"><\/a>Search Field<\/h2>\n<p style=\"line-height: 16.6399993896484px\">\n\t<span style=\"line-height: 20.7999992370605px\"><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"tp_search_input\"><input name=\"tsr\" id=\"tp_search_input_field\" type=\"search\" placeholder=\"Suchbegriff eingeben\" value=\"\" tabindex=\"1\"\/><div class=\"teachpress_search_button\"><input name=\"tps_button\" class=\"tp_search_button\" type=\"submit\" tabindex=\"10\" value=\"Suche\"\/><\/div><\/div><\/form><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">265 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 27 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=27&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><div class=\"teachpress_publication_list\"><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">1.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('541','tp_links')\" style=\"cursor:pointer;\">Exploring the Reliability of SHAP Values in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Longo, Luca;  Lapuschkin, Sebastian;  Seifert, Christin (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III, <\/span><span class=\"tp_pub_additional_pages\">S. 165\u2013184, <\/span><span class=\"tp_pub_additional_publisher\">Springer, <\/span><span class=\"tp_pub_additional_address\">Cham, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-031-63799-5<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('541','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('541','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_541\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2024b,<br \/>\r\ntitle = {Exploring the Reliability of SHAP Values in Reinforcement Learning},<br \/>\r\nauthor = {Raphael Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Luca Longo and Sebastian Lapuschkin and Christin Seifert},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf},<br \/>\r\ndoi = {10.1007\/978-3-031-63800-8},<br \/>\r\nisbn = {978-3-031-63799-5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-07-09},<br \/>\r\nbooktitle = {Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III},<br \/>\r\nvolume = {2155},<br \/>\r\npages = {165\u2013184},<br \/>\r\npublisher = {Springer},<br \/>\r\naddress = {Cham},<br \/>\r\nseries = {Communications in Computer and Information Science},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('541','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_541\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-63800-8\" title=\"Folge der DOI-Nummer:10.1007\/978-3-031-63800-8\" target=\"_blank\">doi:10.1007\/978-3-031-63800-8<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('541','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">2.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C;  Meinen, Marcel J;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('534','tp_links')\" style=\"cursor:pointer;\">Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2412.04974, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_534\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('534','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_534\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('534','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_534\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Engelhardt2024,<br \/>\r\ntitle = {Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task},<br \/>\r\nauthor = {Raphael C Engelhardt and Marcel J Meinen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/2412.04974},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2412.04974},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('534','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_534\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/2412.04974\" title=\"https:\/\/arxiv.org\/pdf\/2412.04974\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/2412.04974<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('534','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">3.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('535','tp_links')\" style=\"cursor:pointer;\">Beyond Trial and Error in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the DataNinja sAIOnARA 2024 Conference, <\/span><span class=\"tp_pub_additional_pages\">S. 58, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_535\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('535','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_535\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('535','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_535\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2024,<br \/>\r\ntitle = {Beyond Trial and Error in Reinforcement Learning},<br \/>\r\nauthor = {Moritz Lange and Raphael C Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page=63},<br \/>\r\ndoi = {10.11576\/dataninja-1156},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {Proceedings of the DataNinja sAIOnARA 2024 Conference},<br \/>\r\npages = {58},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('535','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_535\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page=63\" title=\"https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page[...]\" target=\"_blank\">https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.11576\/dataninja-1156\" title=\"Folge der DOI-Nummer:10.11576\/dataninja-1156\" target=\"_blank\">doi:10.11576\/dataninja-1156<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('535','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">4.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('536','tp_links')\" style=\"cursor:pointer;\">Interpretable brain-inspired representations improve RL performance on visual navigation tasks<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2402.12067, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_536\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('536','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_536\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('536','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_536\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lange2024a,<br \/>\r\ntitle = {Interpretable brain-inspired representations improve RL performance on visual navigation tasks},<br \/>\r\nauthor = {Moritz Lange and Raphael C Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/2402.12067},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2402.12067},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('536','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_536\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/2402.12067\" title=\"https:\/\/arxiv.org\/pdf\/2402.12067\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/2402.12067<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('536','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">5.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Raycheva, Ralitsa;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('537','tp_links')\" style=\"cursor:pointer;\">\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, <\/span><span class=\"tp_pub_additional_publisher\">Springer Nature Switzerland, Imprint: Springer, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_537\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('537','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_537\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('537','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_537\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2024a,<br \/>\r\ntitle = {\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning},<br \/>\r\nauthor = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nbooktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},<br \/>\r\npublisher = {Springer Nature Switzerland, Imprint: Springer},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('537','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_537\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('537','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">6.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Krystiniak, Noah;  Engelhardt, Raphael C.;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('538','tp_links')\" style=\"cursor:pointer;\">Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, <\/span><span class=\"tp_pub_additional_publisher\">Springer Nature Switzerland, Imprint: Springer, <\/span><span class=\"tp_pub_additional_year\">2024<\/span><span class=\"tp_pub_additional_note\">, (Best Paper Award)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_538\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('538','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_538\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('538','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_538\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2024b,<br \/>\r\ntitle = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},<br \/>\r\nauthor = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nurl = {https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nbooktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},<br \/>\r\npublisher = {Springer Nature Switzerland, Imprint: Springer},<br \/>\r\nnote = {Best Paper Award},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('538','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_538\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5\" title=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5\" target=\"_blank\">https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('538','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">7.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('539','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2405.15512, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_539\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('539','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_539\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('539','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_539\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2405.15512},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2405.15512},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('539','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_539\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2405.15512\" title=\"https:\/\/arxiv.org\/abs\/2405.15512\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2405.15512<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('539','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">8.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('540','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">AI, <\/span><span class=\"tp_pub_additional_volume\">Bd. 5, <\/span><span class=\"tp_pub_additional_number\">Nr. 3, <\/span><span class=\"tp_pub_additional_pages\">S. 1066\u20131094, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2673-2688<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('540','tp_abstract')\" title=\"Zeige Abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('540','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('540','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_540\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024a,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53},<br \/>\r\ndoi = {10.3390\/ai5030053},<br \/>\r\nissn = {2673-2688},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {AI},<br \/>\r\nvolume = {5},<br \/>\r\nnumber = {3},<br \/>\r\npages = {1066\u20131094},<br \/>\r\nabstract = {In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('540','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_540\" style=\"display:none;\"><div class=\"tp_abstract_entry\">In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('540','tp_abstract')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_540\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" title=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" target=\"_blank\">https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/ai5030053\" title=\"Folge der DOI-Nummer:10.3390\/ai5030053\" target=\"_blank\">doi:10.3390\/ai5030053<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('540','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">9.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Krystiniak, Noah;  Engelhardt, Raphael C.;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\">Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_523\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('523','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_523\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2023,<br \/>\r\ntitle = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},<br \/>\r\nauthor = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nbooktitle = {9th International Conference on machine Learning, Optimization, and Data Science (LOD2023)},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('523','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">10.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('524','tp_links')\" style=\"cursor:pointer;\">Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2301.12167, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_524\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('524','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_524\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('524','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_524\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Konen2023,<br \/>\r\ntitle = {Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2301.12167},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nurldate = {2023-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2301.12167},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('524','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_524\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2301.12167\" title=\"https:\/\/arxiv.org\/abs\/2301.12167\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2301.12167<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('524','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><\/div><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">265 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 27 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/publications\/?limit=27&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><\/div><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Search Field &nbsp; Search Field<\/p>\n","protected":false},"author":41,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-53","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/pages\/53","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/users\/41"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/comments?post=53"}],"version-history":[{"count":27,"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/pages\/53\/revisions"}],"predecessor-version":[{"id":1486,"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/pages\/53\/revisions\/1486"}],"wp:attachment":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/wp-json\/wp\/v2\/media?parent=53"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}