Publikationen

Suchfeld

AI anomaly detection auxiliary tasks BV-3D-Endo BV-3series CI classification CMA computer science computer vision constraints Cybernetics Data Mining Dato Minint decision trees deep learning Deep Reinforcement Learning digital content DLA DWT ensemble equality constraint explainable AI face recognition FEM Game Learning GBG general game playing gesture GP image mosaic Kriging Large Action Space learning LogSearch LSTM machine learning maximum likelihood estimation MONREP neuroendoscopy neuroinformatics nuclear physics online teaching optimization parameter tuning prediction rCMA reinforcement learning Representation learning Revenue Mgmt RL3 SACOBRA Serious Games SFA simulation SOMA SPOT surrogate models SVM TCN TDMR time series video streaming wavelet transform

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2023

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, (Best Paper Award).

BibTeX | Schlagwörter: auxiliary tasks, reinforcement learning, Representation learning, RL3

Konen, Wolfgang

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article

In: arXiv preprint arXiv:2301.12167, 2023.

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

Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article

In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.

Links | BibTeX | Schlagwörter: AI, decision trees, deep learning, explainable AI, reinforcement learning, RL3

2022

Konen, Wolfgang

The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Technical Report

TH Köln 2022.

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

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.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, reinforcement learning, RL3

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Journal Article

In: IEEE Transactions on Games, 2022.

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

Scheiermann, Johannes; Konen, Wolfgang

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).

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

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 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.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, reinforcement learning, RL3

2020

Konen, Wolfgang; Bagheri, Samineh

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.

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 Proceedings Article

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, Bd. 8, Nr. 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 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.

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 Nr. 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 Proceedings Article

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 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.

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, Nr. 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 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.

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 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.

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

 

Suchfeld

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39 Einträge « ‹ 1 von 4 › »
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, (Best Paper Award).

BibTeX

2.

Konen, Wolfgang

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article

In: arXiv preprint arXiv:2301.12167, 2023.

Links | BibTeX

3.

Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article

In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.

Links | BibTeX

4.

Konen, Wolfgang

The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Technical Report

TH Köln 2022.

Links | BibTeX

5.

Fabig, Niklas

Reinforcement Learning für Standard Operating Procedures einer Atomkraftwerkssimulation Masters Thesis

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

BibTeX

6.

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

7.

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

8.

Oedingen, Marc

Regelextraktion aus Deep Reinforcement Learning Modellen Masters Thesis

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

Links | BibTeX

9.

Cöln, Julian

KI-Konzepte für das Erlernen nicht-deterministischer Spiele am Beispiel von "EinStein würfelt nicht!" Masters Thesis

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

Links | BibTeX

10.

Weitz, Ann

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

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

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39 Einträge « ‹ 1 von 4 › »