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2021

Konen, Wolfgang; Bagheri, Samineh

Final adaptation reinforcement learning for N-player games Journal Article

In: arXiv preprint arXiv:2111.14375, 2021.

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

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Shedding light into the black box of reinforcement learning - extended abstract Inproceedings

In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, reinforcement learning

2020

Konen, Wolfgang; Bagheri, Samineh

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

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.

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 Technical Report

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 Technical Report

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 Inproceedings

In: 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 Technical Report

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 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).

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 Journal Article

In: IEEE Transactions on Computational Intelligence and AI in Games, vol. 8, no. 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 Technical Report

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 Technical Report

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) Miscellaneous

2014.

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

Konen, Wolfgang; Koch, Patrick

Adaptation in Nonlinear Learning Models for Nonstationary Tasks Inproceedings

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.

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 Technical Report

CIplus no. 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 Inproceedings

In: 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 Inproceedings

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.

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

2011

Konen, Wolfgang

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").

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 Inproceedings

In: 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 Technical Report

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 Inproceedings

In: 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 Technical Report

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 Technical Report

Cologne University of Applied Sciences 2008.

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

 


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32 Einträge « 1 von 4 »
1.

Fabig, Niklas

Reinforcement Learning für Standard Operating Procedures einer Atomkraftwerkssimulation Masters Thesis

TH Köln -- University of Applied Sciences, 2022.

Links | BibTeX

2.

Weitz, Ann

Untersuchung von selbstlernenden Reinforcement Learning Agenten im computergenerierten Spiel Yavalath Masters Thesis

TH Köln -- University of Applied Sciences, 2022, (Bachelor thesis).

Links | BibTeX

3.

Raycheva, Ralitsa

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).

Links | BibTeX

4.

Oedingen, Marc

Regelextraktion aus Deep Reinforcement Learning Modellen Masters Thesis

TH Köln -- University of Applied Sciences, 2022, (Bachelor thesis).

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5.

Cöln, Julian

KI-Konzepte für das Erlernen nicht-deterministischer Spiele am Beispiel von Masters Thesis

TH Köln -- University of Applied Sciences, 2022, (Bachelor thesis).

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6.

Weitz, Ann

Entwicklung einer allgemeinen Schnittstelle zwischen Ludii und dem GBG Framework Technical Report

TH Köln -- University of Applied Sciences 2022, (Praxisprojekt).

Links | BibTeX

7.

Fabig, Niklas

Portierung einer Java-Reaktorsimulation nach Python und Performanz-Vergleich mit verschiedenen Python-Java-Bridges Technical Report

TH Köln -- University of Applied Sciences 2021, (Projekt).

Links | BibTeX

8.

Nayante, Yendoukon

Reinforcement Learning am realen und simulierten Cart-Pole-Swing-Up Pendulum im Vergleich Masters Thesis

TH Köln -- University of Applied Sciences, 2021, (Bachelor thesis).

Links | BibTeX

9.

Raycheva, Ralitsa

Erstellung eines Custom Environments in OpenAI Gym für das Spiel Ökolopoly Technical Report

TH Köln -- University of Applied Sciences 2021, (Praxisprojekt).

Links | BibTeX

10.

Konen, Wolfgang; Bagheri, Samineh

Final adaptation reinforcement learning for N-player games Journal Article

In: arXiv preprint arXiv:2111.14375, 2021.

Links | BibTeX

32 Einträge « 1 von 4 »