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.
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.
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
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.
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.
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).
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Journal Article
In: Applied Soft Computing, vol. 61, S. 377-393, 2017, ISSN: 1568-4946.
2016
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**).
Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Proceedings Article
In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1924–1931, IEEE, 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
Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, no. 06/15; arXiv: 1512.09251, 2015, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1512.09251).
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**).
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.
SVM ensembles are better when different kernel types are combined Book Section
In: Lausen, Berthold; Krolak-Schwerdt, Sabine (Hrsg.): Data Science, Learning by Latent Structures, and Knowledge Discovery, S. 191–201, Springer, 2015.
Efficient multi-criteria optimization on noisy machine learning problems Journal Article
In: Applied Soft Computing, vol. 29, S. 357-370, 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).
The rCMA Tutorial: Examples for using CMA-ES in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.
2014
Connect-4 Game Playing Framework (C4GPF) Miscellaneous
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.
Tuning and Evolution of Support Vector Kernels Journal Article
In: Evolutionary Intelligence, vol. 5, S. 153–170, 2012.
2011
Ensemble-Based Modeling Technical Report
Research Center CIOP (Computational Intelligence, Optimization andData Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, no. 06/11, 2011, ISSN: 2191-365X.
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").
On the Tuning and Evolution of Support Vector Kernels Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, no. 04/11, 2011, ISSN: 2191-365X.
Noisy optimization with sequential parameter optimization and optimal computational budget allocation Proceedings Article
In: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, S. 119–120, ACM, Dublin, Ireland, 2011, ISBN: 978-1-4503-0690-4.
Ensemble Based Optimization and Tuning Algorithms Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2011.
2010
Optimization of Biogas Production with Computational Intelligence -- A Comparative Study Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, no. 03/10, 2010, ISSN: 2191-365X.
Comparing CI Methods for Prediction Models in Environmental Engineering Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany, no. 02/10, 2010, ISSN: 2191-365X.
Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction Proceedings Article
In: Fogel, Gary; others, (Hrsg.): Proc. IEEE Congress Evolutionary Computation (CEC), S. 1579–1586, 2010.
Clustering Based Niching for Genetic Programming in the R Environment Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, S. 33–46, Universitätsverlag Karlsruhe, 2010.
Optimizing Support Vector Machines for Stormwater Prediction Proceedings Article
In: Bartz-Beielstein, Thomas; Chiarandini, M.; Paquete, L.; Preuss, Mike (Hrsg.): Proceedings of Workshop on Experimental Methods for the Assessment of Computational Systems joint to PPSN2010, S. 47–59, TU Dortmund, 2010.
Optimization of Support Vector Regression Models for Stormwater Prediction Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, S. 146–160, Universitätsverlag Karlsruhe, 2010.
Optimization of Biogas Production with Computational Intelligence -- A Comparative Study Proceedings Article
In: Fogel, Gary; others, (Hrsg.): Proc. 2010 Congress on Evolutionary Computation (CEC'10) within IEEE World Congress on Computational Intelligence (WCCI'10), Barcelona, Spain, S. 3606–3613, IEEE Press, Piscataway NJ, 2010.
2009
Genetic Programming Applied to Predictive Control in Environmental Engineering Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 19. Workshop Computational Intelligence, S. 101–113, KIT Scientific Publishing, Karlsruhe, 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.
Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes (in german) Journal Article
In: at-Automatisierungstechnik, vol. 57, no. 3, S. 155–166, 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.
Parameterselektion für komplexe Modellierungsaufgaben der Wasserwirtschaft -- Moderne CI-Verfahren zur Zeitreihenanalyse Proceedings Article
In: Mikut, Ralf; Reischl, Markus (Hrsg.): Proc. 18th Workshop Computational Intelligence, S. 136–150, Universitätsverlag, Karlsruhe, 2008.
Moderne statistische Verfahren zur Parameteroptimierung und systematischen Modellauswahl Technical Report
Cologne University of Applied Sciences 2008.
Genetisches Programmieren für Vorhersagemodelle in der Finanzwirtschaft Technical Report
Cologne University of Applied Sciences 2008.
Suchfeld
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article
In: arXiv preprint arXiv:2301.12167, 2023.
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).
Final adaptation reinforcement learning for N-player games Journal Article
In: arXiv preprint arXiv:2111.14375, 2021.
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.
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.
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.