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Lange, Moritz; Krystiniak, Noah; Engelhardt, Raphael C.; Konen, Wolfgang; Wiskott, Laurenz
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
@inproceedings{Lange2023,
title = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},
author = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},
editor = {Giuseppe Nicosia and Panos Pardalos and others},
year = {2023},
date = {2023-01-01},
booktitle = {9th International Conference on machine Learning, Optimization, and Data Science (LOD2023)},
keywords = {auxiliary tasks, Reinforcement learning, Representation learning},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Iterative Oblique Decision Trees Deliver Explainable RL Models Artikel
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
@article{Engelhardt2023,
title = {Iterative Oblique Decision Trees Deliver Explainable RL Models},
author = {Raphael C Engelhardt and Marc Oedingen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
url = {https://www.mdpi.com/1999-4893/16/6/282},
year = {2023},
date = {2023-01-01},
journal = {Algorithms},
volume = {16},
number = {6},
pages = {282},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Engelhardt, Raphael C.; Raycheva, Ralitsa; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
@inproceedings{Engelhardt2023a,
title = {Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning},
author = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
editor = {Giuseppe Nicosia and Panos Pardalos and others},
url = {https://www.gm.fh-koeln.de/ciopwebpub/Engelh23a.d/Engelh23a.pdf},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {9th International Conference on machine Learning, Optimization, and Data Science (LOD2023)},
keywords = {Cybernetics, Deep Reinforcement Learning, Game Learning, Large Action Space, Serious Games},
pubstate = {published},
tppubtype = {inproceedings}
}
Seven, Meltem
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 Abschlussarbeit
TH Köln – University of Applied Sciences, 2023, (Bachelor thesis).
@mastersthesis{Seven2023,
title = {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},
author = {Meltem Seven},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA_Meltem-Seven-final.pdf},
year = {2023},
date = {2023-01-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis},
keywords = {BT-MT, Game Learning, GBG, Ludii},
pubstate = {published},
tppubtype = {mastersthesis}
}
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}
}
Weitz, Ann
Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath Abschlussarbeit
TH Köln – University of Applied Sciences, 2022, (Bachelor thesis).
@mastersthesis{Weitz2022b,
title = {Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath},
author = {Ann Weitz},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA-Weitz-final-2022.pdf},
year = {2022},
date = {2022-05-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis},
keywords = {AI, BT-MT, Game Learning, Reinforcement learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
Weitz, Ann
Entwicklung einer allgemeinen Schnittstelle zwischen Ludii und dem GBG Framework Forschungsbericht
2022, (Praxisprojekt).
@techreport{Weitz2022,
title = {Entwicklung einer allgemeinen Schnittstelle zwischen Ludii und dem GBG Framework},
author = {Ann Weitz},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/PP-Doku-Weitz-2022-02.pdf},
year = {2022},
date = {2022-02-01},
school = {TH Köln – University of Applied Sciences},
note = {Praxisprojekt},
keywords = {AI, BT-MT, Game Learning, Ludii, Reinforcement learning},
pubstate = {published},
tppubtype = {techreport}
}
Cöln, Julian
KI-Konzepte für das Erlernen nicht-deterministischer Spiele am Beispiel von "EinStein würfelt nicht!" Abschlussarbeit
TH Köln – University of Applied Sciences, 2022, (Bachelor thesis).
@mastersthesis{Coeln2022,
title = {KI-Konzepte für das Erlernen nicht-deterministischer Spiele am Beispiel von "EinStein würfelt nicht!"},
author = {Julian Cöln},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA_Julian_Coeln2021-final.pdf},
year = {2022},
date = {2022-02-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis},
keywords = {AI, BT-MT, Game Learning, GBG, Reinforcement learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article
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
Meissner, Simon
Untersuchung des Spiel- und Lernerfolgs künstlicher Intelligenzen für ein nichtdeterministisches Spiel mit imperfekten Informationen: Blackjack in der Game-Learning-Umgebung ’General Board Game’ (GBG) Abschlussarbeit
TH Köln – University of Applied Sciences, 2021, (Bachelor thesis).
@mastersthesis{Meissner2021,
title = {Untersuchung des Spiel- und Lernerfolgs künstlicher Intelligenzen für ein nichtdeterministisches Spiel mit imperfekten Informationen: Blackjack in der Game-Learning-Umgebung ’General Board Game’ (GBG)},
author = {Simon Meissner},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA-Meissner-final-2021.pdf},
year = {2021},
date = {2021-12-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis},
keywords = {AI, BT-MT, Game Learning, GBG, machine learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
Zeh, Tim
Untersuchung von allgemeinen KI-Agenten für das Spiel Poker im General Board Games Framework Abschlussarbeit
TH Köln – University of Applied Sciences, 2021, (Master thesis).
@mastersthesis{Zeh2021,
title = {Untersuchung von allgemeinen KI-Agenten für das Spiel Poker im General Board Games Framework},
author = {Tim Zeh},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/MA_Zeh_final_Poker-GBG-2021.pdf},
year = {2021},
date = {2021-07-01},
school = {TH Köln – University of Applied Sciences},
note = {Master thesis},
keywords = {AI, BT-MT, Game Learning, GBG, machine learning},
pubstate = {published},
tppubtype = {mastersthesis}
}
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 Proceedings Article
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 Proceedings Article
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 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}
}
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 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}
}
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
Solving Optimization Problems with High Conditioning by Means of Online Whitening Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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 Proceedings Article
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}
}
257 Einträge « ‹ 1 von 6
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Search Field
257 Einträge « ‹ 1 von 26
› » 1.
Lange, Moritz; Krystiniak, Noah; Engelhardt, Raphael C.; Konen, Wolfgang; Wiskott, Laurenz
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
@inproceedings{Lange2023,
title = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},
author = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},
editor = {Giuseppe Nicosia and Panos Pardalos and others},
year = {2023},
date = {2023-01-01},
booktitle = {9th International Conference on machine Learning, Optimization, and Data Science (LOD2023)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2.
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}
}
3.
Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Iterative Oblique Decision Trees Deliver Explainable RL Models Artikel
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
@article{Engelhardt2023,
title = {Iterative Oblique Decision Trees Deliver Explainable RL Models},
author = {Raphael C Engelhardt and Marc Oedingen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
url = {https://www.mdpi.com/1999-4893/16/6/282},
year = {2023},
date = {2023-01-01},
journal = {Algorithms},
volume = {16},
number = {6},
pages = {282},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
4.
Engelhardt, Raphael C.; Raycheva, Ralitsa; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
@inproceedings{Engelhardt2023a,
title = {Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning},
author = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
editor = {Giuseppe Nicosia and Panos Pardalos and others},
url = {https://www.gm.fh-koeln.de/ciopwebpub/Engelh23a.d/Engelh23a.pdf},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {9th International Conference on machine Learning, Optimization, and Data Science (LOD2023)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
5.
Seven, Meltem
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 Abschlussarbeit
TH Köln – University of Applied Sciences, 2023, (Bachelor thesis).
@mastersthesis{Seven2023,
title = {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},
author = {Meltem Seven},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA_Meltem-Seven-final.pdf},
year = {2023},
date = {2023-01-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
6.
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}
}
7.
Weitz, Ann
Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath Abschlussarbeit
TH Köln – University of Applied Sciences, 2022, (Bachelor thesis).
@mastersthesis{Weitz2022b,
title = {Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath},
author = {Ann Weitz},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA-Weitz-final-2022.pdf},
year = {2022},
date = {2022-05-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
8.
Weitz, Ann
Entwicklung einer allgemeinen Schnittstelle zwischen Ludii und dem GBG Framework Forschungsbericht
2022, (Praxisprojekt).
@techreport{Weitz2022,
title = {Entwicklung einer allgemeinen Schnittstelle zwischen Ludii und dem GBG Framework},
author = {Ann Weitz},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/PP-Doku-Weitz-2022-02.pdf},
year = {2022},
date = {2022-02-01},
school = {TH Köln – University of Applied Sciences},
note = {Praxisprojekt},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
9.
Cöln, Julian
KI-Konzepte für das Erlernen nicht-deterministischer Spiele am Beispiel von "EinStein würfelt nicht!" Abschlussarbeit
TH Köln – University of Applied Sciences, 2022, (Bachelor thesis).
@mastersthesis{Coeln2022,
title = {KI-Konzepte für das Erlernen nicht-deterministischer Spiele am Beispiel von "EinStein würfelt nicht!"},
author = {Julian Cöln},
url = {https://www.gm.fh-koeln.de/~konen/research/PaperPDF/BA_Julian_Coeln2021-final.pdf},
year = {2022},
date = {2022-02-01},
school = {TH Köln – University of Applied Sciences},
note = {Bachelor thesis},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
10.
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article
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}
}
257 Einträge « ‹ 1 von 26
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