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2020

Konen, Wolfgang; Bagheri, Samineh

Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Konferenzbeitrag

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.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

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), Oct 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Konen, Wolfgang; Bagheri, Samineh

Final Adaptation Reinforcement Learning for N-Player Games Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

2019

Konen, Wolfgang

General Board Game Playing for Education and Research in Generic AI Game Learning Konferenzbeitrag

Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Konen, Wolfgang

The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

2017

Konen, Wolfgang

The GBG Class Interface Tutorial: General Board Game Playing and Learning Forschungsbericht

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).

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

2016

Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang

Online Adaptable Learning Rates for the Game Connect-4 Artikel

IEEE Transactions on Computational Intelligence and AI in Games, 8 (1), S. 33-42, 2016, (accepted 11/2014).

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, optimization, reinforcement learning

2015

Konen, Wolfgang

Reinforcement Learning for Board Games: The Temporal Difference Algorithm Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

Konen, Wolfgang

Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015, (Updated version 2015).

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

2014

Thill, Markus; Konen, Wolfgang

Connect-4 Game Playing Framework (C4GPF) Sonstige

2014.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

Konen, Wolfgang; Koch, Patrick

Adaptation in Nonlinear Learning Models for Nonstationary Tasks Konferenzbeitrag

Bartz-Beielstein, T; Filipic, B (Hrsg.): PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, S. 292–301, Springer, Heidelberg, 2014.

Links | BibTeX | Schlagwörter: Game Learning, learning, reinforcement learning

Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang

Online Adaptable Learning Rates for the Game Connect-4 Forschungsbericht

CIplus (TR 03/2014), 2014, (Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2016).

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, optimization, reinforcement learning

Thill, Markus; Bagheri, Samineh; Koch, Patrick; Konen, Wolfgang

Temporal Difference Learning with Eligibility Traces for the Game Connect-4 Konferenzbeitrag

Preuss, Mike ; Rudolph, Günther (Hrsg.): CIG'2014, International Conference on Computational Intelligence in Games, Dortmund, S. 84 – 91, 2014.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

2012

Thill, Markus; Koch, Patrick; Konen, Wolfgang

Reinforcement learning with n-tuples on the game Connect-4 Konferenzbeitrag

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.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning, SOMA

2011

Konen, Wolfgang

Self-configuration from a Machine-Learning Perspective Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (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").

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, parameter tuning, reinforcement learning, TDMR

2009

Konen, Wolfgang; Bartz-Beielstein, Thomas

Reinforcement learning for games: failures and successes -- CMA-ES and TDL in comparision Konferenzbeitrag

GECCO '09: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference, S. 2641–2648, ACM, Montreal, Québec, Canada, 2009.

Links | BibTeX | Schlagwörter: CI, CMA, Game Learning, learning, reinforcement learning

Konen, Wolfgang; Bartz-Beielstein, Thomas

Evolutionsstrategien und Reinforcement Learning für strategische Brettspiele Forschungsbericht

Cologne University of Applied Sciences 2009.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

2008

Konen, Wolfgang; Bartz-Beielstein, Thomas

Reinforcement Learning: Insights from Interesting Failures in Parameter Selection Konferenzbeitrag

Rudolph, Günter ; others, (Hrsg.): PPSN'2008: 10th International Conference on Parallel Problem Solving From Nature, Dortmund, S. 478–487, Springer, Berlin, 2008.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

Konen, Wolfgang

Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Forschungsbericht

Cologne University of Applied Sciences 2008.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

Konen, Wolfgang; Bartz-Beielstein, Thomas

Reinforcement Learning für strategische Brettspiele Forschungsbericht

Cologne University of Applied Sciences 2008.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

 


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28 Einträge « 1 von 3 »
1. 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). TH Köln -- University of Applied Sciences, 2021, (Bachelor thesis). (Typ: Abschlussarbeit | Links | BibTeX)
2. Scheiermann, Johannes: AlphaZero-inspirierte KI-Agenten im General Board Game Playing. TH Köln -- University of Applied Sciences, 2020, (Bachelor thesis). (Typ: Abschlussarbeit | Links | BibTeX)
3. Konen, Wolfgang; Bagheri, Samineh: Reinforcement Learning for N-Player Games: The Importance of Final Adaptation. 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. (Typ: Konferenzbeitrag | Links | BibTeX)
4. Konen, Wolfgang: The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning. Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct 2020. (Typ: Forschungsbericht | Links | BibTeX)
5. Konen, Wolfgang; Bagheri, Samineh: Final Adaptation Reinforcement Learning for N-Player Games. Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020. (Typ: Forschungsbericht | Links | BibTeX)
6. Scheiermann, Johannes: Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello stärker als (untrainierte) General-Game-Playing Agenten?. TH Köln, Institut für Informatik 2020, (Praxisprojekt). (Typ: Forschungsbericht | Links | BibTeX)
7. Konen, Wolfgang: General Board Game Playing for Education and Research in Generic AI Game Learning. In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019. (Typ: Konferenzbeitrag | Links | BibTeX)
8. Konen, Wolfgang: The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning. Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019. (Typ: Forschungsbericht | Links | BibTeX)
9. Barsnick, Felix: Implementierung und Untersuchung eines Turniersystems für KI-Agenten in Brettspielen. TH Köln -- University of Applied Sciences, 2019, (Master thesis). (Typ: Abschlussarbeit | Links | BibTeX)
10. Cöln, Julian; Dittmar, Yannick: Untersuchung von KI Agenten im Spiel Othello. TH Köln, Institut für Informatik 2019. (Typ: Forschungsbericht | Links | BibTeX)
28 Einträge « 1 von 3 »