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21.

Thill, Markus

Reinforcement Learning mit N-Tupel-Systemen für Vier Gewinnt Masters Thesis

TH Köln -- University of Applied Sciences, 2012, (Bachelor thesis, 1st prize in Opitz award 2013, Festo award 2012, Ferchau award 2012).

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22.

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").

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23.

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.

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24.

Konen, Wolfgang; Bartz-Beielstein, Thomas

Evolutionsstrategien und Reinforcement Learning für strategische Brettspiele Technical Report

Cologne University of Applied Sciences 2009.

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25.

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.

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26.

Konen, Wolfgang

Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Technical Report

Cologne University of Applied Sciences 2008.

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27.

Konen, Wolfgang; Bartz-Beielstein, Thomas

Reinforcement Learning für strategische Brettspiele Technical Report

Cologne University of Applied Sciences 2008.

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28.

Konen, Wolfgang; von der Malsburg, Christoph

Learning to generalize from single examples in the dynamic link architecture Book Section

In: Hinton, Geoffrey; Seynowski, Terrence J. (Hrsg.): Unsupervised Learning – Foundations of Neural Computation, S. 373–390, MIT Press, Cambridge, MA, 1999, (Reprint from [Konen, v.d. Malsburg, Neural Computation, 1993]).

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29.

Würtz, Rolf P.; Konen, Wolfgang; Behrmann, Kay-Ole

On the performance of neuronal matching algorithms Journal Article

In: Neural Networks, Bd. 12, S. 127-134, 1999.

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30.

Würtz, Rolf P.; Konen, Wolfgang; Behrmann, Kay-Ole

How fast can neuronal algorithms match patterns? Proceedings Article

In: von der Malsburg, Christoph; von Seelen, Werner (Hrsg.): International Conference on Artificial Neural Net­works (ICANN), North-Holland, 1996.

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35 Einträge « 3 von 4 »