Search Field
2023
Konen, Wolfgang
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Artikel
In: arXiv preprint arXiv:2301.12167, 2023.
@article{Konen2023,
title = {Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning},
author = {Wolfgang Konen},
url = {https://arxiv.org/abs/2301.12167},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {arXiv preprint arXiv:2301.12167},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {article}
}
2022
Konen, Wolfgang
The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Forschungsbericht
TH Köln 2022.
@techreport{Konen2022,
title = {The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning},
author = {Wolfgang Konen},
url = {https://www.gm.fh-koeln.de/ciopwebpub/Konen22a.d/TR-GBG.pdf},
year = {2022},
date = {2022-09-01},
institution = {TH Köln},
school = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
Scheiermann, Johannes; Konen, Wolfgang
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel
In: arXiv preprint arXiv:2204.13307, 2022, (Preprint of the IEEE ToG 2022 paper).
@article{Scheier2022arXiv,
title = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},
author = {Johannes Scheiermann and Wolfgang Konen},
url = {https://arxiv.org/abs/2204.13307},
year = {2022},
date = {2022-01-01},
journal = {arXiv preprint arXiv:2204.13307},
note = {Preprint of the IEEE ToG 2022 paper},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {article}
}
Scheiermann, Johannes; Konen, Wolfgang
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel
In: IEEE Transactions on Games, 2022.
@article{Scheier2022,
title = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},
author = {Johannes Scheiermann and Wolfgang Konen},
url = {https://ieeexplore.ieee.org/document/9893320},
doi = {10.1109/TG.2022.3206733},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {IEEE Transactions on Games},
keywords = {AI, deep learning, Game Learning, GBG, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {article}
}
2021
Konen, Wolfgang; Bagheri, Samineh
Final adaptation reinforcement learning for N-player games Artikel
In: arXiv preprint arXiv:2111.14375, 2021.
@article{Konen2021,
title = {Final adaptation reinforcement learning for N-player games},
author = {Wolfgang Konen and Samineh Bagheri},
url = {https://arxiv.org/abs/2111.14375},
year = {2021},
date = {2021-01-01},
journal = {arXiv preprint arXiv:2111.14375},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {article}
}
2020
Konen, Wolfgang; Bagheri, Samineh
Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Proceedings Article
In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles, 2020.
@inproceedings{Konen20bc,
title = {Reinforcement Learning for N-Player Games: The Importance of Final Adaptation},
author = {Wolfgang Konen and Samineh Bagheri},
editor = {Bogdan Filipic Massimiliano Vasile},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20b.d/bioma20-TDNTuple.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},
address = {Bruxelles},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Konen, Wolfgang; Bagheri, Samineh
Final Adaptation Reinforcement Learning for N-Player Games Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.
@techreport{Konen20b_TRb,
title = {Final Adaptation Reinforcement Learning for N-Player Games},
author = {Wolfgang Konen and Samineh Bagheri},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20b_TR.d/Konen20b_TR.pdf},
year = {2020},
date = {2020-01-01},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang
The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.
@techreport{Konen20d,
title = {The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning},
author = {Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20d.d/TR-GBG.pdf},
year = {2020},
date = {2020-01-01},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
2019
Konen, Wolfgang
General Board Game Playing for Education and Research in Generic AI Game Learning Proceedings Article
In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019.
@inproceedings{Konen19b,
title = {General Board Game Playing for Education and Research in Generic AI Game Learning},
author = {Wolfgang Konen},
editor = {Diego Perez and Sanaz Mostaghim and Simon Lucas},
url = {https://arxiv.org/pdf/1907.06508},
year = {2019},
date = {2019-08-20},
booktitle = {IEEE Conference on Games},
address = {London},
keywords = {CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
2017
Galitzki, Kevin
Selbstlernende Agenten für das skalierbare Spiel Hex: Untersuchung verschiedener KI-Verfahren im GBG-Framework Abschlussarbeit
TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis).
@mastersthesis{Galitzki2017,
title = {Selbstlernende Agenten für das skalierbare Spiel Hex: Untersuchung verschiedener KI-Verfahren im GBG-Framework},
author = {Kevin Galitzki},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA-KevinGalitzki-final-2017.pdf},
year = {2017},
date = {2017-01-01},
institution = {Institut für Informatik},
school = {TH Köln -- University of Applied Sciences},
note = {Bachelor thesis},
keywords = {BT-MT, CI, Game Learning, GBG, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
Kutsch, Johannes
KI-Agenten fur das Spiel 2048: Untersuchung von Lernalgorithmen für nichtdeterministische Spiele Abschlussarbeit
TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis).
@mastersthesis{Kutsch2017,
title = {KI-Agenten fur das Spiel 2048: Untersuchung von Lernalgorithmen für nichtdeterministische Spiele},
author = {Johannes Kutsch},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA_JohannesKutsch_Final-2017.pdf},
year = {2017},
date = {2017-01-01},
institution = {Institut für Informatik},
school = {TH Köln -- University of Applied Sciences},
note = {Bachelor thesis},
keywords = {BT-MT, CI, Game Learning, GBG, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
2015
Konen, Wolfgang
Reinforcement Learning for Board Games: The Temporal Difference Algorithm Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.
@techreport{Kone15c,
title = {Reinforcement Learning for Board Games: The Temporal Difference Algorithm},
author = {Konen, Wolfgang},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone15c.d/TR-TDgame_EN.pdf},
year = {2015},
date = {2015-07-01},
address = {Cologne University of Applied Sciences},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {Game Learning, learning, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang
Online Adaptable Learning Rates for the Game Connect-4 Artikel
In: IEEE Transactions on Computational Intelligence and AI in Games, Bd. (accepted 11/2014), S. 1, 2015.
@article{Bagh15,
title = {Online Adaptable Learning Rates for the Game Connect-4},
author = {Samineh Bagheri and Markus Thill and Patrick Koch and Wolfgang Konen},
url = {http://dx.doi.org/10.1109/TCIAIG.2014.2367105},
year = {2015},
date = {2015-01-01},
journal = {IEEE Transactions on Computational Intelligence and AI in Games},
volume = {(accepted 11/2014)},
pages = {1},
keywords = {Game Learning, learning, Reinforcement learning},
pubstate = {published},
tppubtype = {article}
}
Konen, Wolfgang
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015, (Updated version 2015).
@techreport{Kone15a,
title = {Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus},
author = {Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone15a.d/TR-TDgame.pdf},
year = {2015},
date = {2015-01-01},
address = {Cologne University of Applied Sciences},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Updated version 2015},
keywords = {Game Learning, learning, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
2014
Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang
Online Adaptable Learning Rates for the Game Connect-4 Forschungsbericht
CIplus Nr. TR 03/2014, 2014, (Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2015).
@techreport{Bagh14a,
title = {Online Adaptable Learning Rates for the Game Connect-4},
author = {Samineh Bagheri and Markus Thill and Patrick Koch and Wolfgang Konen},
url = {http://nbn-resolving.de/urn:nbn:de:hbz:832-cos-704},
year = {2014},
date = {2014-01-01},
number = {TR 03/2014},
institution = {CIplus},
note = {Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2015},
keywords = {Game Learning, learning, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang; Koch, Patrick
Adaptation in Nonlinear Learning Models for Nonstationary Tasks Proceedings Article
In: Filipic, Bogdan (Hrsg.): PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, Springer, Heidelberg, 2014.
@inproceedings{Kone14a,
title = {Adaptation in Nonlinear Learning Models for Nonstationary Tasks},
author = {Wolfgang Konen and Patrick Koch},
editor = {Bogdan Filipic},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Kone14a.d/Kone14a.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana},
publisher = {Springer},
address = {Heidelberg},
keywords = {Game Learning, learning, Reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Thill, Markus; Bagheri, Samineh; Koch, Patrick; Konen, Wolfgang
Temporal Difference Learning with Eligibility Traces for the Game Connect-4 Proceedings Article
In: Preuss, Mike; Rudolph, Günther (Hrsg.): CIG'2014, International Conference on Computational Intelligence in Games, Dortmund, 2014.
@inproceedings{Thil14,
title = {Temporal Difference Learning with Eligibility Traces for the Game Connect-4},
author = {Markus Thill and Samineh Bagheri and Patrick Koch and Wolfgang Konen},
editor = {Mike Preuss and Günther Rudolph},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/ThillCIG2014.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {CIG'2014, International Conference on Computational Intelligence in Games, Dortmund},
keywords = {Game Learning, learning, Reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Thill, Markus; Konen, Wolfgang
Connect-4 Game Playing Framework (C4GPF) Sonstige
2014.
@misc{ThilKon14,
title = {Connect-4 Game Playing Framework (C4GPF)},
author = {Markus Thill and Wolfgang Konen},
url = {http://github.com/MarkusThill/Connect-Four},
year = {2014},
date = {2014-01-01},
keywords = {Game Learning, learning, Reinforcement learning},
pubstate = {published},
tppubtype = {misc}
}
2012
Thill, Markus
Reinforcement Learning mit N-Tupel-Systemen für Vier Gewinnt Abschlussarbeit
TH Köln – University of Applied Sciences, 2012, (Bachelor thesis, 1st prize in Opitz award 2013, Festo award 2012, Ferchau award 2012).
@mastersthesis{Thill2012,
title = {Reinforcement Learning mit N-Tupel-Systemen für Vier Gewinnt},
author = {Markus Thill},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Theses.d/Thill12.d/BA-Thill-2012.pdf},
year = {2012},
date = {2012-07-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis, 1st prize in Opitz award 2013, Festo award 2012, Ferchau award 2012},
keywords = {board games, BT-MT, Game Learning, learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
2009
Konen, Wolfgang; Bartz-Beielstein, Thomas
Reinforcement learning for games: failures and successes -- CMA-ES and TDL in comparision Proceedings Article
In: GECCO '09: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference, S. 2641–2648, ACM, Montreal, Québec, Canada, 2009.
@inproceedings{Kone09a,
title = {Reinforcement learning for games: failures and successes -- CMA-ES and TDL in comparision},
author = {Wolfgang Konen and Thomas Bartz-Beielstein},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/evo-reinforce-GECCO2009.pdf},
year = {2009},
date = {2009-01-01},
booktitle = {GECCO '09: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference},
pages = {2641--2648},
publisher = {ACM},
address = {Montreal, Québec, Canada},
keywords = {Game Learning, learning},
pubstate = {published},
tppubtype = {inproceedings}
}
2008
Konen, Wolfgang
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Forschungsbericht
Cologne University of Applied Sciences 2008.
@techreport{Kone08b,
title = {Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus},
author = {Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/TR_TDlambda2008.pdf},
year = {2008},
date = {2008-01-01},
institution = {Cologne University of Applied Sciences},
keywords = {Game Learning, learning},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang; Bartz-Beielstein, Thomas
Reinforcement Learning für strategische Brettspiele Forschungsbericht
Cologne University of Applied Sciences 2008.
@techreport{Kone08c,
title = {Reinforcement Learning für strategische Brettspiele},
author = {Wolfgang Konen and Thomas Bartz-Beielstein},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/FBericht2008-Kg-Bi-RL-strategische-Brettspiele.pdf},
year = {2008},
date = {2008-01-01},
institution = {Cologne University of Applied Sciences},
keywords = {Game Learning, learning},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang; Bartz-Beielstein, Thomas
Reinforcement Learning: Insights from Interesting Failures in Parameter Selection Proceedings Article
In: and, Günter Rudolph (Hrsg.): PPSN'2008: 10th International Conference on Parallel Problem Solving From Nature, Dortmund, S. 478–487, Springer, Berlin, 2008.
@inproceedings{Kone08ab,
title = {Reinforcement Learning: Insights from Interesting Failures in Parameter Selection},
author = {Wolfgang Konen and Thomas Bartz-Beielstein},
editor = {Günter Rudolph and et al.},
year = {2008},
date = {2008-01-01},
booktitle = {PPSN'2008: 10th International Conference on Parallel Problem Solving From Nature, Dortmund},
pages = {478--487},
publisher = {Springer},
address = {Berlin},
keywords = {learning, machine learning, Reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
1999
Konen, Wolfgang; von der Malsburg, Christoph
Learning to generalize from single examples in the dynamic link architecture Buchabschnitt
In: Hinton, Geoffrey; Seynowski, Terrence J. (Hrsg.): Unsupervised Learning Foundations of Neural Computation, S. 373390, MIT Press, Cambridge, MA, 1999, (Reprint from [Konen, v.d. Malsburg, Neural Computation, 1993]).
@incollection{KoneMal99,
title = {Learning to generalize from single examples in the dynamic link architecture},
author = {Wolfgang Konen and Christoph von der Malsburg },
editor = {Geoffrey Hinton and Terrence J. Seynowski},
year = {1999},
date = {1999-01-01},
booktitle = {Unsupervised Learning Foundations of Neural Computation},
pages = {373390},
publisher = {MIT Press},
address = {Cambridge, MA},
note = {Reprint from [Konen, v.d. Malsburg, Neural Computation, 1993]},
keywords = {DLA, learning},
pubstate = {published},
tppubtype = {incollection}
}
Würtz, Rolf P.; Konen, Wolfgang; Behrmann, Kay-Ole
On the performance of neuronal matching algorithms Artikel
In: Neural Networks, Bd. 12, S. 127-134, 1999.
@article{WurKo99,
title = {On the performance of neuronal matching algorithms},
author = {Rolf P. Würtz and Wolfgang Konen and Kay-Ole Behrmann},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/wuertz-konen99performance.pdf},
year = {1999},
date = {1999-01-01},
journal = {Neural Networks},
volume = {12},
pages = {127-134},
keywords = {DLA, learning},
pubstate = {published},
tppubtype = {article}
}
1996
Würtz, Rolf P.; Konen, Wolfgang; Behrmann, Kay-Ole
How fast can neuronal algorithms match patterns? Proceedings Article
In: von der Malsburg, Christoph; von Seelen, Werner (Hrsg.): International Conference on Artificial Neural Networks (ICANN), North-Holland, 1996.
@inproceedings{WurKo96,
title = {How fast can neuronal algorithms match patterns?},
author = {Rolf P. Würtz and Wolfgang Konen and Kay-Ole Behrmann},
editor = {Christoph von der Malsburg and Werner von Seelen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/wuertz-konen96how-fast.pdf},
year = {1996},
date = {1996-01-01},
booktitle = {International Conference on Artificial Neural Networks (ICANN)},
publisher = {North-Holland},
keywords = {learning},
pubstate = {published},
tppubtype = {inproceedings}
}
1994
Konen, Wolfgang; von der Malsburg, Christoph
Learning to generalize from single examples in the dynamic link architecture Buchabschnitt
In: Buzsaki, G. (Hrsg.): Temporal Coding in the brain, S. 205220, Springer, New York, 1994, (Reprint from [Konen, v.d. Malsburg, Neural Computation, 1993]).
@incollection{KoneMal94,
title = {Learning to generalize from single examples in the dynamic link architecture},
author = {Wolfgang Konen and Christoph von der Malsburg},
editor = {G. Buzsaki},
year = {1994},
date = {1994-01-01},
booktitle = {Temporal Coding in the brain},
pages = {205220},
publisher = {Springer},
address = {New York},
note = {Reprint from [Konen, v.d. Malsburg, Neural Computation, 1993]},
keywords = {DLA, learning},
pubstate = {published},
tppubtype = {incollection}
}
Konen, Wolfgang; Maurer, Thomas; von der Malsburg, Christoph
A fast dynamic link matching algorithm for invariant pattern recognition Artikel
In: Neural Networks, Bd. 7, S. 1019-1030, 1994.
@article{KoneMau94,
title = {A fast dynamic link matching algorithm for invariant pattern recognition},
author = {Wolfgang Konen and Thomas Maurer and Christoph von der Malsburg},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/konen94fast.pdf},
year = {1994},
date = {1994-01-01},
journal = {Neural Networks},
volume = {7},
pages = {1019-1030},
keywords = {DLA, learning},
pubstate = {published},
tppubtype = {article}
}
1993
Doursat, René; Konen, Wolfgang; Lades, Martin; von der Malsburg, Christoph; Vorbrüggen, Jan C.; Wiskott, Laurenz; Würtz, Rolf P.
Neural mechanisms of elastic pattern matching Forschungsbericht
Institut für Neuroinformatik, Ruhr-Universität Bochum Bochum, Nr. IR-INI 93-01, 1993.
@techreport{Dour93,
title = {Neural mechanisms of elastic pattern matching},
author = {René Doursat and Wolfgang Konen and Martin Lades and Christoph von der Malsburg and Jan C. Vorbrüggen and Laurenz Wiskott and Rolf P. Würtz},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/doursat92neural.pdf},
year = {1993},
date = {1993-01-01},
number = {IR-INI 93-01},
address = {Bochum},
institution = {Institut für Neuroinformatik, Ruhr-Universität Bochum},
keywords = {computer vision, DLA, face recognition, learning},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang; von der Malsburg, Christoph
Learning to generalize from single examples in the dynamic link architecture Artikel
In: Neural Computation, Bd. 5, S. 719-735, 1993.
@article{KonMal93,
title = {Learning to generalize from single examples in the dynamic link architecture},
author = {Wolfgang Konen and Christoph von der Malsburg},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/NeurComp-mirpap.pdf},
year = {1993},
date = {1993-01-01},
journal = {Neural Computation},
volume = {5},
pages = {719-735},
keywords = {DLA, learning},
pubstate = {published},
tppubtype = {article}
}
1992
Konen, Wolfgang; von der Malsburg, Christoph
Unsupervised symmetry detection: A network which learns from single examples Proceedings Article
In: Aleksander, Igor (Hrsg.): Proceedings of the International Conference on Artificial Neural Networks (ICANN), S. 121125, North-Holland, Amsterdam, 1992.
@inproceedings{KonMal92,
title = {Unsupervised symmetry detection: A network which learns from single examples},
author = {Wolfgang Konen and Christoph von der Malsburg},
editor = {Aleksander, Igor},
url = {http://www.gm.fh-koeln.de/~konen//Publikationen/ICANN92-mirpap.pdf},
year = {1992},
date = {1992-01-01},
booktitle = {Proceedings of the International Conference on Artificial Neural Networks (ICANN)},
pages = {121125},
publisher = {North-Holland, Amsterdam},
keywords = {DLA, learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Search Field
31 Einträge « ‹ 1 von 4
› » 1.
Konen, Wolfgang
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Artikel
In: arXiv preprint arXiv:2301.12167, 2023.
@article{Konen2023,
title = {Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning},
author = {Wolfgang Konen},
url = {https://arxiv.org/abs/2301.12167},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {arXiv preprint arXiv:2301.12167},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2.
Konen, Wolfgang
The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Forschungsbericht
TH Köln 2022.
@techreport{Konen2022,
title = {The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning},
author = {Wolfgang Konen},
url = {https://www.gm.fh-koeln.de/ciopwebpub/Konen22a.d/TR-GBG.pdf},
year = {2022},
date = {2022-09-01},
institution = {TH Köln},
school = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
3.
Scheiermann, Johannes; Konen, Wolfgang
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel
In: arXiv preprint arXiv:2204.13307, 2022, (Preprint of the IEEE ToG 2022 paper).
@article{Scheier2022arXiv,
title = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},
author = {Johannes Scheiermann and Wolfgang Konen},
url = {https://arxiv.org/abs/2204.13307},
year = {2022},
date = {2022-01-01},
journal = {arXiv preprint arXiv:2204.13307},
note = {Preprint of the IEEE ToG 2022 paper},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
4.
Scheiermann, Johannes; Konen, Wolfgang
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel
In: IEEE Transactions on Games, 2022.
@article{Scheier2022,
title = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},
author = {Johannes Scheiermann and Wolfgang Konen},
url = {https://ieeexplore.ieee.org/document/9893320},
doi = {10.1109/TG.2022.3206733},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {IEEE Transactions on Games},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
5.
Konen, Wolfgang; Bagheri, Samineh
Final adaptation reinforcement learning for N-player games Artikel
In: arXiv preprint arXiv:2111.14375, 2021.
@article{Konen2021,
title = {Final adaptation reinforcement learning for N-player games},
author = {Wolfgang Konen and Samineh Bagheri},
url = {https://arxiv.org/abs/2111.14375},
year = {2021},
date = {2021-01-01},
journal = {arXiv preprint arXiv:2111.14375},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
6.
Konen, Wolfgang; Bagheri, Samineh
Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Proceedings Article
In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles, 2020.
@inproceedings{Konen20bc,
title = {Reinforcement Learning for N-Player Games: The Importance of Final Adaptation},
author = {Wolfgang Konen and Samineh Bagheri},
editor = {Bogdan Filipic Massimiliano Vasile},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20b.d/bioma20-TDNTuple.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},
address = {Bruxelles},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
7.
Konen, Wolfgang; Bagheri, Samineh
Final Adaptation Reinforcement Learning for N-Player Games Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.
@techreport{Konen20b_TRb,
title = {Final Adaptation Reinforcement Learning for N-Player Games},
author = {Wolfgang Konen and Samineh Bagheri},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20b_TR.d/Konen20b_TR.pdf},
year = {2020},
date = {2020-01-01},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
8.
Konen, Wolfgang
The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.
@techreport{Konen20d,
title = {The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning},
author = {Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Konen20d.d/TR-GBG.pdf},
year = {2020},
date = {2020-01-01},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
9.
Konen, Wolfgang
General Board Game Playing for Education and Research in Generic AI Game Learning Proceedings Article
In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019.
@inproceedings{Konen19b,
title = {General Board Game Playing for Education and Research in Generic AI Game Learning},
author = {Wolfgang Konen},
editor = {Diego Perez and Sanaz Mostaghim and Simon Lucas},
url = {https://arxiv.org/pdf/1907.06508},
year = {2019},
date = {2019-08-20},
booktitle = {IEEE Conference on Games},
address = {London},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
10.
Galitzki, Kevin
Selbstlernende Agenten für das skalierbare Spiel Hex: Untersuchung verschiedener KI-Verfahren im GBG-Framework Abschlussarbeit
TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis).
@mastersthesis{Galitzki2017,
title = {Selbstlernende Agenten für das skalierbare Spiel Hex: Untersuchung verschiedener KI-Verfahren im GBG-Framework},
author = {Kevin Galitzki},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA-KevinGalitzki-final-2017.pdf},
year = {2017},
date = {2017-01-01},
institution = {Institut für Informatik},
school = {TH Köln -- University of Applied Sciences},
note = {Bachelor thesis},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
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