2023
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article
In: arXiv preprint arXiv:2301.12167, 2023.
2022
The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Technical Report
TH Köln 2022.
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Journal Article
In: IEEE Transactions on Games, 2022.
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Journal Article
In: arXiv preprint arXiv:2204.13307, 2022, (Preprint of the IEEE ToG 2022 paper).
2021
Final adaptation reinforcement learning for N-player games Journal Article
In: arXiv preprint arXiv:2111.14375, 2021.
2020
Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Proceedings Article
In: Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA) , Bruxelles. Video (15 min) + slides available at https://youtu.be/OcpX7ITeH9w, 2020.
The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct 2020.
Final Adaptation Reinforcement Learning for N-Player Games Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.
2019
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.
The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019.
2017
The GBG Class Interface Tutorial: General Board Game Playing and Learning Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2017, (e-print published at http://www.gm.fh-koeln.de/ciopwebpub/Kone17a.d/TR-GBG.pdf).
2016
Online Adaptable Learning Rates for the Game Connect-4 Journal Article
In: IEEE Transactions on Computational Intelligence and AI in Games, vol. 8, no. 1, S. 33-42, 2016, (accepted 11/2014).
2015
Reinforcement Learning for Board Games: The Temporal Difference Algorithm Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015, (Updated version 2015).
2014
Connect-4 Game Playing Framework (C4GPF) Miscellaneous
2014.
Adaptation in Nonlinear Learning Models for Nonstationary Tasks Proceedings Article
In: Bartz-Beielstein, T.; Filipic, B. (Hrsg.): PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, S. 292–301, Springer, Heidelberg, 2014.
Online Adaptable Learning Rates for the Game Connect-4 Technical Report
CIplus no. TR 03/2014, 2014, (Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2016).
Temporal Difference Learning with Eligibility Traces for the Game Connect-4 Proceedings Article
In: Preuss, Mike; Rudolph, Günther (Hrsg.): CIG'2014, International Conference on Computational Intelligence in Games, Dortmund, S. 84 – 91, 2014.
2012
Reinforcement learning with n-tuples on the game Connect-4 Proceedings Article
In: Coello Coello, Carlos; Cutello, Vincenzo; others, (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 184–194, Springer, Heidelberg, 2012.
2011
Self-configuration from a Machine-Learning Perspective Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, no. 05/11; arXiv: 1105.1951, 2011, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1105.1951 and Dagstuhl Preprint Archive, Workshop 11181 "Organic Computing -- Design of Self-Organizing Systems").
2009
Reinforcement learning for games: failures and successes -- CMA-ES and TDL in comparision Proceedings Article
In: GECCO '09: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference, S. 2641–2648, ACM, Montreal, Québec, Canada, 2009.
Evolutionsstrategien und Reinforcement Learning für strategische Brettspiele Technical Report
Cologne University of Applied Sciences 2009.
2008
Reinforcement Learning: Insights from Interesting Failures in Parameter Selection Proceedings Article
In: Rudolph, Günter; others, (Hrsg.): PPSN'2008: 10th International Conference on Parallel Problem Solving From Nature, Dortmund, S. 478–487, Springer, Berlin, 2008.
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Technical Report
Cologne University of Applied Sciences 2008.
Reinforcement Learning für strategische Brettspiele Technical Report
Cologne University of Applied Sciences 2008.
Suchfeld
Integration von Stable Baselines3 Agenten in das GBG-Framework: Eine Java-Python-Schnittstelle zur Nutzung von Gymnasium und SB3 im GBG Masters Thesis
TH Köln – University of Applied Sciences, 2025, (Bachelor thesis).
TH Köln – University of Applied Sciences, 2025, (Bachelor thesis).
Der Einfluss einer intuitiveren graphischen UI und weiteren spielunterstützenden Features auf den Spielerfolg und Spielspaß im Spiel Ökolopoly Masters Thesis
TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).
Untersuchung von stochastischen und nicht-stochastischen Reinforcement-Learning-Algorithmen für Blackjack und Kuhn Poker Masters Thesis
TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article
In: arXiv preprint arXiv:2301.12167, 2023.
TH Köln – University of Applied Sciences, 2023, (Bachelor thesis).
The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Technical Report
TH Köln 2022.
Reinforcement Learning für Standard Operating Procedures einer Atomkraftwerkssimulation Masters Thesis
TH Köln -- University of Applied Sciences, 2022, (Master thesis).
Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath Masters Thesis
TH Köln -- University of Applied Sciences, 2022, (Bachelor thesis).
Reinforcement Learning in Simulationsspielen: Repräsentation von großen Aktions- und Zustandsräumen am Beispiel von Ökolopoly Masters Thesis
TH Köln -- University of Applied Sciences, 2022, (Bachelor thesis).
