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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}
}
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Sample-based Rule Extraction for Explainable Reinforcement Learning Konferenzbeitrag
In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.
@inproceedings{Engel2022,
title = {Sample-based Rule Extraction for Explainable Reinforcement Learning},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
year = {2022},
date = {2022-01-01},
booktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},
keywords = {decision trees, deep learning, explainable AI, Reinforcement learning, RL3},
pubstate = {published},
tppubtype = {inproceedings}
}
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
Bagheri, Samineh; Reinicke, Ulf; Anders, Denis; Konen, Wolfgang
Surrogate-assisted optimization for augmentation of finite element techniques Artikel
In: Journal of Computational Science, Bd. 54, S. 101427, 2021.
@article{Bagheri2021,
title = {Surrogate-assisted optimization for augmentation of finite element techniques},
author = {Samineh Bagheri and Ulf Reinicke and Denis Anders and Wolfgang Konen},
url = {https://doi.org/10.1016/j.jocs.2021.101427},
year = {2021},
date = {2021-01-01},
journal = {Journal of Computational Science},
volume = {54},
pages = {101427},
publisher = {Elsevier},
keywords = {FEM, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {article}
}
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Shedding light into the black box of reinforcement learning - extended abstract Konferenzbeitrag
In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.
@inproceedings{Engel2021,
title = {Shedding light into the black box of reinforcement learning - extended abstract},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
editor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},
url = {https://dataninja.nrw/wp-content/uploads/2021/09/1_Engelhardt_SheddingLight_Abstract.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},
keywords = {decision trees, deep learning, explainable AI, Reinforcement learning, RL3},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas
Temporal convolutional autoencoder for unsupervised anomaly detection in time series Artikel
In: Applied Soft Computing, Bd. 112, S. 107751, 2021.
@article{Thill2021,
title = {Temporal convolutional autoencoder for unsupervised anomaly detection in time series},
author = {Markus Thill and Wolfgang Konen and Hao Wang and Thomas Bäck},
url = {https://doi.org/10.1016/j.asoc.2021.107751},
year = {2021},
date = {2021-01-01},
journal = {Applied Soft Computing},
volume = {112},
pages = {107751},
publisher = {Elsevier},
keywords = {anomaly detection, deep learning, TCN, time series},
pubstate = {published},
tppubtype = {article}
}
2020
Bagheri, Samineh
Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems Promotionsarbeit
Leiden University and TH Köln, 2020, (PhD thesis).
@phdthesis{Bagheri2020,
title = {Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems},
author = {Samineh Bagheri},
year = {2020},
date = {2020-04-01},
institution = {Institut für Informatik},
school = {Leiden University and TH Köln},
note = {PhD thesis},
keywords = {BT-MT, machine learning, MONREP, optimization, RBF, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {phdthesis}
}
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}
}
Konen, Wolfgang
Die CO2-Kosten des Video-Streaming Artikel
In: Die Neue Hochschule (dnh), Bd. 3, S. 18-19, 2020.
@article{Konen20c,
title = {Die CO2-Kosten des Video-Streaming},
author = {Wolfgang Konen},
url = {https://www.th-koeln.de/mam/downloads/deutsch/hochschule/aktuell/nachrichten/dnh_2020-3_vorveroffentlichung_beitrag_konen.pdf},
year = {2020},
date = {2020-01-01},
journal = {Die Neue Hochschule (dnh)},
volume = {3},
pages = {18-19},
keywords = {digital content, online teaching, video streaming},
pubstate = {published},
tppubtype = {article}
}
Thill, Markus; Konen, Wolfgang; Bäck, Thomas
Time Series Encodings with Temporal Convolutional Networks Konferenzbeitrag
In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020.
@inproceedings{Thill20a,
title = {Time Series Encodings with Temporal Convolutional Networks},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Bogdan Filipic Massimiliano Vasile},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill20a.d/bioma2020-tcn.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},
keywords = {anomaly detection, deep learning, TCN, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
Scheiermann, Johannes
Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello stärker als (untrainierte) General-Game-Playing Agenten? Forschungsbericht
TH Köln, Institut für Informatik 2020, (Praxisprojekt).
@techreport{Scheier2020,
title = {Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello stärker als (untrainierte) General-Game-Playing Agenten?},
author = {Johannes Scheiermann},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/INF-Prj-Scheiermann-2020-08.pdf},
year = {2020},
date = {2020-01-01},
institution = {TH Köln, Institut für Informatik},
note = {Praxisprojekt},
keywords = {AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
Scheiermann, Johannes
AlphaZero-inspirierte KI-Agenten im General Board Game Playing Abschlussarbeit
TH Köln -- University of Applied Sciences, 2020, (Bachelor thesis).
@mastersthesis{Scheier2020b,
title = {AlphaZero-inspirierte KI-Agenten im General Board Game Playing},
author = {Johannes Scheiermann},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA_Scheiermann_final.pdf},
year = {2020},
date = {2020-01-01},
school = {TH Köln -- University of Applied Sciences},
note = {Bachelor thesis},
keywords = {AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
Konen, Wolfgang; Bagheri, Samineh
Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Konferenzbeitrag
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}
}
2019
Cöln, Julian; Dittmar, Yannick
Untersuchung von KI Agenten im Spiel Othello Forschungsbericht
TH Köln, Institut für Informatik 2019.
@techreport{Cöln2019,
title = {Untersuchung von KI Agenten im Spiel Othello},
author = {Julian Cöln and Yannick Dittmar},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/INF-Proj-DittmarCoeln-2019-12.pdf},
year = {2019},
date = {2019-12-01},
institution = {TH Köln, Institut für Informatik},
keywords = {AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang
General Board Game Playing for Education and Research in Generic AI Game Learning Konferenzbeitrag
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}
}
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
Solving Optimization Problems with High Conditioning by Means of Online Whitening Konferenzbeitrag
In: Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019.
@inproceedings{Bagh19c,
title = {Solving Optimization Problems with High Conditioning by Means of Online Whitening},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Manuel Lopez-Ibanez},
url = {http://blogs.gm.fh-koeln.de/ciop/files/2019/07/GECCO2019.pdf},
year = {2019},
date = {2019-07-01},
booktitle = {Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague},
pages = {243-244},
publisher = {ACM},
keywords = {CI, constraints, MONREP, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning Forschungsbericht
arXiv preprint arXiv:1904.08397 2019.
@techreport{Bagh19b,
title = {SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
url = {https://arxiv.org/abs/1904.08397},
year = {2019},
date = {2019-07-01},
institution = {arXiv preprint arXiv:1904.08397},
keywords = {optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {techreport}
}
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods Artikel
In: at-Automatisierungstechnik, Bd. submitted, 2019.
@article{Bagh19a,
title = {How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
year = {2019},
date = {2019-01-01},
journal = {at-Automatisierungstechnik},
volume = {submitted},
keywords = {optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {article}
}
Buhl, Henning; Konen, Wolfgang; Thill, Markus
Deep Learning mit Keras und Tensorflow Sonstige
Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.
@misc{Buhl19,
title = {Deep Learning mit Keras und Tensorflow},
author = {Henning Buhl and Wolfgang Konen and Markus Thill},
url = {https://github.com/HenningBuhl/DLKTF},
year = {2019},
date = {2019-01-01},
howpublished = {Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019)},
keywords = {deep learning},
pubstate = {published},
tppubtype = {misc}
}
Barsnick, Felix
Implementierung und Untersuchung eines Turniersystems für KI-Agenten in Brettspielen Abschlussarbeit
TH Köln -- University of Applied Sciences, 2019, (Master thesis).
@mastersthesis{Barsnick2019,
title = {Implementierung und Untersuchung eines Turniersystems für KI-Agenten in Brettspielen},
author = {Felix Barsnick},
url = {http://www.gm.fh-koeln.de/~konen/research/PaperPDF/MA_MMI_Barsnick-2019-04-final.pdf},
year = {2019},
date = {2019-01-01},
institution = {Institut für Informatik},
school = {TH Köln -- University of Applied Sciences},
note = {Master thesis},
keywords = {BT-MT, Elo, Game Learning, GBG, Glicko, machine learning, Reinforcement learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Konferenzbeitrag
In: á, Petra Barancíkov; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award).
@inproceedings{Thill2019a,
title = {Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks},
author = {Markus Thill and Sina Däubner and Wolfgang Konen and Thomas Bäck},
editor = {Petra Barancíkov á and Martin Holena and others},
url = {http://ceur-ws.org/Vol-2473},
year = {2019},
date = {2019-01-01},
booktitle = {Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019)},
volume = {2473},
series = {CEUR Workshop Proceedings},
note = {Best Paper Award},
keywords = {anomaly detection, deep learning, LSTM, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
How to Solve the Dilemma of Margin-Based Equality Handling Methods Konferenzbeitrag
In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Hrsg.): Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, S. 257-270, KIT Scientific Publishing, Karlsruhe, 2018, ISBN: 978-3-7315-0845-8, (Young Author Award).
@inproceedings{Bagheri2018,
title = {How to Solve the Dilemma of Margin-Based Equality Handling Methods},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck },
editor = {Frank Hoffmann and Eyke Hüllermeier and Ralf Mikut },
url = {https://blogs.gm.fh-koeln.de/ciop/files/2018/12/GMA2018.pdf},
doi = {10.5445/KSP/1000085935},
isbn = {978-3-7315-0845-8},
year = {2018},
date = {2018-11-29},
booktitle = {Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018},
pages = {257-270},
publisher = {KIT Scientific Publishing, Karlsruhe},
note = {Young Author Award},
keywords = {equality constraint, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
Thill, Markus; Konen, Wolfgang; Bäck, Thomas
Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) TH Köln - University of Applied Science, 2018, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf).
@techreport{Thill2018,
title = {Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill18.d/AoDS2018.pdf},
year = {2018},
date = {2018-11-01},
address = {TH Köln - University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
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},
keywords = {anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang; Koch, Patrick
The TDMR 2.0 Package: Tuned Data Mining in R Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 02/2018, 2018, (Last update: April 2018 (original version: 2012)).
@techreport{Kone18a,
title = {The TDMR 2.0 Package: Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12a.d/Kone12a.pdf},
year = {2018},
date = {2018-04-01},
number = {02/2018},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: April 2018 (original version: 2012)},
keywords = {parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
Konen, Wolfgang; Koch, Patrick
The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 03/2018, 2018, (Last update: April 2018 (original version: 2012)).
@techreport{Kone18b,
title = {The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12b.d/Kone12b.pdf},
year = {2018},
date = {2018-04-01},
number = {03/2018},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: April 2018 (original version: 2012)},
keywords = {parameter tuning, SOMA, TDMR},
pubstate = {published},
tppubtype = {techreport}
}
2017
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
Comparing Kriging and Radial Basis Function Surrogates Konferenzbeitrag
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 243-259, Universitätsverlag Karlsruhe, 2017.
@inproceedings{Bagh17c,
title = {Comparing Kriging and Radial Basis Function Surrogates},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {http://blogs.gm.fh-koeln.de/ciop/files/2018/10/Bagheri2017-1.pdf
https://publikationen.bibliothek.kit.edu/1000074341
https://www.researchgate.net/publication/328222483_Comparing_Kriging_and_Radial_Basis_Function_Surrogates
},
year = {2017},
date = {2017-11-01},
booktitle = {Proceedings 27. Workshop Computational Intelligence},
pages = {243-259},
publisher = {Universitätsverlag Karlsruhe},
keywords = {CI, constraints, Kriging, MONREP, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
Thill, Markus; Konen, Wolfgang; Bäck, Thomas
Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017.
@inproceedings{Thill2017c,
title = {Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {https://publikationen.bibliothek.kit.edu/1000074341},
year = {2017},
date = {2017-11-01},
booktitle = {Proceedings 27. Workshop Computational Intelligence},
pages = {67-71},
publisher = {Universitätsverlag Karlsruhe},
keywords = {anomaly detection, DWT, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
Bagheri, Samineh; Konen, Wolfgang; Allmendinger, Richard; Branke, Jürgen; Deb, Kalyanmoy; Fieldsend, Jonathan; Quagliarella, Domenico; Sindhya, Karthik
Constraint Handling in Efficient Global Optimization Konferenzbeitrag
In: Bosman, Peter A N (Hrsg.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, S. 1, ACM, 2017.
@inproceedings{Bagh17a,
title = {Constraint Handling in Efficient Global Optimization},
author = {Samineh Bagheri and Wolfgang Konen and Richard Allmendinger and Jürgen Branke and Kalyanmoy Deb and Jonathan Fieldsend and Domenico Quagliarella and Karthik Sindhya},
editor = {Peter A N Bosman},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh17-GECCO.pdf},
year = {2017},
date = {2017-07-01},
booktitle = {Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin},
pages = {1},
publisher = {ACM},
keywords = {CI, constraints, Kriging, MONREP, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {inproceedings}
}
Thill, Markus; Konen, Wolfgang; Bäck, Thomas
Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag
In: Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017.
@inproceedings{Thill17b-ITISE,
title = {Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Olga Valenzuela and Ignacio Rojas and others},
url = {http://blogs.gm.fh-koeln.de/ciop/files/2019/01/thillwavelet.pdf},
year = {2017},
date = {2017-07-01},
booktitle = {International Work-Conference on Time Series (ITISE2017)},
keywords = {anomaly detection, DWT, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
Bagheri, Samineh; Konen, Wolfgang; Emmerich, Michael; Bäck, Thomas
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Artikel
In: Applied Soft Computing, Bd. 61, S. 377–393, 2017, ISSN: 1568-4946.
@article{Bagh17bb,
title = {Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets},
author = {Samineh Bagheri and Wolfgang Konen and Michael Emmerich and Thomas Bäck},
url = {http://www.sciencedirect.com/science/article/pii/S1568494617304805},
doi = {https://doi.org/10.1016/j.asoc.2017.07.060},
issn = {1568-4946},
year = {2017},
date = {2017-01-01},
journal = {Applied Soft Computing},
volume = {61},
pages = {377--393},
keywords = {CI, constraints, MONREP, optimization, SACOBRA, surrogate models},
pubstate = {published},
tppubtype = {article}
}
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}
}
Thill, Markus; Konen, Wolfgang; Bäck, Thomas
Online anomaly detection on the Webscope S5 dataset: A comparative study Konferenzbeitrag
In: IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017.
@inproceedings{Thill17a-SORAD,
title = {Online anomaly detection on the Webscope S5 dataset: A comparative study},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill17a.d/Thill17a-SORAD.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017)},
pages = {1},
organization = {Springer},
keywords = {anomaly detection, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
Online Selection of Surrogate Models for Constrained Black-Box Optimization Konferenzbeitrag
In: Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (Best Student Paper Award).
@inproceedings{Bagh16c,
title = {Online Selection of Surrogate Models for Constrained Black-Box Optimization},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Yaochu Jin},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh16-SSCI.pdf},
year = {2016},
date = {2016-12-01},
booktitle = {SSCI'2016, Athens},
pages = {1},
publisher = {IEEE},
note = {Best Student Paper Award},
keywords = {CI, constraints, ensemble, MONREP, optimization, SACOBRA},
pubstate = {published},
tppubtype = {inproceedings}
}
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Konferenzbeitrag
In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1, IEEE, 2016.
@inproceedings{Bagh16a,
title = {Equality Constraint Handling for Surrogate-Assisted Constrained Optimization},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Kay Chen Tan},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh16-WCCI.pdf},
year = {2016},
date = {2016-07-01},
booktitle = {WCCI'2016, Vancouver},
pages = {1},
publisher = {IEEE},
keywords = {CI, constraints, MONREP, optimization, SACOBRA},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Koch, Patrick
SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF Konferenzbeitrag
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (Young Author Award GMA-CI).
@inproceedings{Bagh15b,
title = {SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF},
author = {Samineh Bagheri and Wolfgang Konen and Christophe Foussette and Peter Krause and Thomas Bäck and Patrick Koch},
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh15-GMA-CI.pdf},
year = {2015},
date = {2015-11-01},
booktitle = {Proceedings 25. Workshop Computational Intelligence},
pages = {87-98},
publisher = {Universitätsverlag Karlsruhe},
note = {Young Author Award GMA-CI},
keywords = {CI, constraints, MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
Koch, Patrick; Wagner, Tobias; Emmerich, Michael; Bäck, Thomas; Konen, Wolfgang
Efficient multi-criteria optimization on noisy machine learning problems Artikel
In: Applied Soft Computing, Bd. 29, S. 357-370, 2015.
@article{Koch15,
title = {Efficient multi-criteria optimization on noisy machine learning problems},
author = {Patrick Koch and Tobias Wagner and Michael Emmerich and Thomas Bäck and Wolfgang Konen},
url = {http://www.sciencedirect.com/science/article/pii/S156849461500006X#},
doi = {https://doi.org/10.1016/j.asoc.2015.01.005},
year = {2015},
date = {2015-05-01},
journal = {Applied Soft Computing},
volume = {29},
pages = {357-370},
keywords = {machine learning, TDMR},
pubstate = {published},
tppubtype = {article}
}
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}
}
Koch, Patrick; Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas
A New Repair Method For Constrained Optimization Konferenzbeitrag
In: Jiménez-Laredo, Juan Luis (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference, 2015, (accepted).
@inproceedings{Koch15a,
title = {A New Repair Method For Constrained Optimization},
author = {Patrick Koch and Samineh Bagheri and Wolfgang Konen and Christophe Foussette and Peter Krause and Thomas Bäck},
editor = {Juan Luis Jiménez-Laredo},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 17th Genetic and Evolutionary Computation Conference},
series = {GECCO'15},
note = {accepted},
keywords = {constraint, MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
Konen, Wolfgang
The rCMA Tutorial: Examples for using CMA-ES in R Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.
@techreport{Kone15b,
title = {The rCMA Tutorial: Examples for using CMA-ES in R},
author = {Konen, Wolfgang},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone15b.d/rCMA-tutorial.pdf},
year = {2015},
date = {2015-00-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {constraint, MONREP, optimization, rCMA},
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}
}
Koch, Patrick; Bagheri, Samineh; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Konen, Wolfgang
Constrained Optimization with a Limited Number of Function Evaluations Konferenzbeitrag
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 24. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2014, (Young Author Award GMA-CI).
@inproceedings{Koch14a,
title = {Constrained Optimization with a Limited Number of Function Evaluations},
author = {Patrick Koch and Samineh Bagheri and Christophe Foussette and Peter Krause and Thomas Bäck and Wolfgang Konen },
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch2014a-GMA-CI.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings 24. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
note = {Young Author Award GMA-CI},
keywords = {MONREP, optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
Konen, Wolfgang; Koch, Patrick
Adaptation in Nonlinear Learning Models for Nonstationary Tasks Konferenzbeitrag
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}
}
Liebig, Kay N.; Maslehaty, Homajoun; Petridis, Athanasios K.; Konen, Wolfgang; Scholz, Martin
Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy Artikel
In: Journal of Neurosurgery, Bd. 121, Nr. 3, S. 688 – 699, 2014.
@article{Lieb14,
title = {Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy},
author = {Kay N. Liebig and Homajoun Maslehaty and Athanasios K. Petridis and Wolfgang Konen and Martin Scholz},
year = {2014},
date = {2014-01-01},
journal = {Journal of Neurosurgery},
volume = {121},
number = {3},
pages = {688 -- 699},
abstract = {OBJECT: Neuroendoscopy is used more and more frequently in neurosurgical procedures and has become an important tool in the neurosurgical armamentarium. However, the main restriction of neuroendoscopy is the limited field of view. A better overview of the area of interest would increase surgical safety and decrease procedure-related morbidity rates. In the present study, the authors aimed to improve this restriction by using and comparing two algorithms to create endoscopic panoramic images, which increase the field of view during neuroendoscopic procedures. METHODS: Different endoscopic methods with or without a stand and with linear or circular endoscope movements were performed in cadaveric ventricles. Video of the endoscopy was used to create image mosaics of the lateral ventricle with the help of the Kourogi or LogSearch (LS) algorithm. In the LS algorithm, different template sizes were used. Three observers graded the quality of the image mosaic in terms of usefulness in surgery. The fastest frame rate was 3-4 frames/second. RESULTS: The LS algorithm with a larger template size showed significantly better results for the creation of image mosaics than the Kourogi algorithm in linear endoscopic movement with or without a stand. In circular endoscopic movements, the results seemed to be better with the LS algorithm but were not significantly different from those obtained with the Kourogi algorithm. In summary, image quality in the experimental paradigms was satisfying. CONCLUSIONS: Results in the study showed that the creation of image mosaics is possible and reliable with the featured algorithms. Image mosaicking is an applicable device for neuroendoscopy and can increase the field of view during endoscopic procedures. Its use can increase the safety and the field of application of neuroendoscopy. However, faster frame rates will be required to create a smooth image for practical use during surgery.},
keywords = {BV-3D-Endo, computer vision, image mosaic, LogSearch algorithm, neuroendoscopy},
pubstate = {published},
tppubtype = {article}
}
OBJECT: Neuroendoscopy is used more and more frequently in neurosurgical procedures and has become an important tool in the neurosurgical armamentarium. However, the main restriction of neuroendoscopy is the limited field of view. A better overview of the area of interest would increase surgical safety and decrease procedure-related morbidity rates. In the present study, the authors aimed to improve this restriction by using and comparing two algorithms to create endoscopic panoramic images, which increase the field of view during neuroendoscopic procedures. METHODS: Different endoscopic methods with or without a stand and with linear or circular endoscope movements were performed in cadaveric ventricles. Video of the endoscopy was used to create image mosaics of the lateral ventricle with the help of the Kourogi or LogSearch (LS) algorithm. In the LS algorithm, different template sizes were used. Three observers graded the quality of the image mosaic in terms of usefulness in surgery. The fastest frame rate was 3-4 frames/second. RESULTS: The LS algorithm with a larger template size showed significantly better results for the creation of image mosaics than the Kourogi algorithm in linear endoscopic movement with or without a stand. In circular endoscopic movements, the results seemed to be better with the LS algorithm but were not significantly different from those obtained with the Kourogi algorithm. In summary, image quality in the experimental paradigms was satisfying. CONCLUSIONS: Results in the study showed that the creation of image mosaics is possible and reliable with the featured algorithms. Image mosaicking is an applicable device for neuroendoscopy and can increase the field of view during endoscopic procedures. Its use can increase the safety and the field of application of neuroendoscopy. However, faster frame rates will be required to create a smooth image for practical use during surgery.
Thill, Markus; Bagheri, Samineh; Koch, Patrick; Konen, Wolfgang
Temporal Difference Learning with Eligibility Traces for the Game Connect-4 Konferenzbeitrag
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}
}
246 Einträge « ‹ 1 von 5
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Search Field
246 Einträge « ‹ 1 von 25
› » 1.
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}
}
2.
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Sample-based Rule Extraction for Explainable Reinforcement Learning Konferenzbeitrag
In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.
@inproceedings{Engel2022,
title = {Sample-based Rule Extraction for Explainable Reinforcement Learning},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
year = {2022},
date = {2022-01-01},
booktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
Bagheri, Samineh; Reinicke, Ulf; Anders, Denis; Konen, Wolfgang
Surrogate-assisted optimization for augmentation of finite element techniques Artikel
In: Journal of Computational Science, Bd. 54, S. 101427, 2021.
@article{Bagheri2021,
title = {Surrogate-assisted optimization for augmentation of finite element techniques},
author = {Samineh Bagheri and Ulf Reinicke and Denis Anders and Wolfgang Konen},
url = {https://doi.org/10.1016/j.jocs.2021.101427},
year = {2021},
date = {2021-01-01},
journal = {Journal of Computational Science},
volume = {54},
pages = {101427},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
6.
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Shedding light into the black box of reinforcement learning - extended abstract Konferenzbeitrag
In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.
@inproceedings{Engel2021,
title = {Shedding light into the black box of reinforcement learning - extended abstract},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
editor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},
url = {https://dataninja.nrw/wp-content/uploads/2021/09/1_Engelhardt_SheddingLight_Abstract.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
7.
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}
}
8.
Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas
Temporal convolutional autoencoder for unsupervised anomaly detection in time series Artikel
In: Applied Soft Computing, Bd. 112, S. 107751, 2021.
@article{Thill2021,
title = {Temporal convolutional autoencoder for unsupervised anomaly detection in time series},
author = {Markus Thill and Wolfgang Konen and Hao Wang and Thomas Bäck},
url = {https://doi.org/10.1016/j.asoc.2021.107751},
year = {2021},
date = {2021-01-01},
journal = {Applied Soft Computing},
volume = {112},
pages = {107751},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
9.
Bagheri, Samineh
Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems Promotionsarbeit
Leiden University and TH Köln, 2020, (PhD thesis).
@phdthesis{Bagheri2020,
title = {Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems},
author = {Samineh Bagheri},
year = {2020},
date = {2020-04-01},
institution = {Institut für Informatik},
school = {Leiden University and TH Köln},
note = {PhD thesis},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
10.
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}
}
246 Einträge « ‹ 1 von 25
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