Learning automata

Results: 53



#Item
21A Comparative Study of Multi-agent Reinforcement Learning Dynamics Daan Bloembergen Michael Kaisers

A Comparative Study of Multi-agent Reinforcement Learning Dynamics Daan Bloembergen Michael Kaisers

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Source URL: michaelkaisers.com

Language: English - Date: 2012-04-29 08:03:21
22JMLR: Workshop and Conference Proceedings 34:207–217, 2014  Proceedings of the 12th ICGI Induction of Directed Acyclic Word Graph in a Bioinformatics Task

JMLR: Workshop and Conference Proceedings 34:207–217, 2014 Proceedings of the 12th ICGI Induction of Directed Acyclic Word Graph in a Bioinformatics Task

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Source URL: jmlr.org

Language: English - Date: 2014-08-26 06:56:50
23RESQ-learning in stochastic games Daniel Hennes, Michael Kaisers and Karl Tuyls Maastricht University Department of Knowledge Engineering P.O. Box 616, 6200 MD Maastricht, The Netherlands

RESQ-learning in stochastic games Daniel Hennes, Michael Kaisers and Karl Tuyls Maastricht University Department of Knowledge Engineering P.O. Box 616, 6200 MD Maastricht, The Netherlands

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Source URL: michaelkaisers.com

Language: English - Date: 2012-04-29 08:03:15
24Reinforcement Learning in Multi-agent Games A value iteration perspective Michael Kaisers March 15, 2008  Abstract

Reinforcement Learning in Multi-agent Games A value iteration perspective Michael Kaisers March 15, 2008 Abstract

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Source URL: michaelkaisers.com

Language: English - Date: 2012-04-29 08:01:24
25Lance Jeremy Fortnow Georgia Institute of Technology School of Computer Science 266 Ferst Drive Atlanta, GA 30332

Lance Jeremy Fortnow Georgia Institute of Technology School of Computer Science 266 Ferst Drive Atlanta, GA 30332

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Source URL: lance.fortnow.com

Language: English - Date: 2014-06-05 11:48:59
26JMLR: Workshop and Conference Proceedings 34:167–181, 2014  Proceedings of the 12th ICGI Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning

JMLR: Workshop and Conference Proceedings 34:167–181, 2014 Proceedings of the 12th ICGI Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning

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Source URL: jmlr.org

Language: English - Date: 2014-08-26 06:56:50
27Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach Michael Kaisers and Karl Tuyls Maastricht University, P.O. Box 616, 6200 MD Maastricht  Abstract. Today’s society is largely connected and many real

Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach Michael Kaisers and Karl Tuyls Maastricht University, P.O. Box 616, 6200 MD Maastricht Abstract. Today’s society is largely connected and many real

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Source URL: michaelkaisers.com

Language: English - Date: 2012-04-29 08:03:37
28Replicator Dynamics for Multi-agent Learning An Orthogonal Approach Michael Kaisers Maastricht University, P.O. Box 616, 6200 MD Maastricht August 28, 2009 Abstract

Replicator Dynamics for Multi-agent Learning An Orthogonal Approach Michael Kaisers Maastricht University, P.O. Box 616, 6200 MD Maastricht August 28, 2009 Abstract

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Source URL: michaelkaisers.com

Language: English - Date: 2012-04-29 08:02:00
29Multi-agent Learning and the Reinforcement Gradient Michael Kaisers and Karl Tuyls Maastricht University, P.O. Box, 6200 MD Maastricht, , WWW home page: http://www.michaelkaisers.co

Multi-agent Learning and the Reinforcement Gradient Michael Kaisers and Karl Tuyls Maastricht University, P.O. Box, 6200 MD Maastricht, , WWW home page: http://www.michaelkaisers.co

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Source URL: michaelkaisers.com

Language: English - Date: 2012-04-29 08:04:47
30JMLR: Workshop and Conference Proceedings 34:94–108, 2014  Proceedings of the 12th ICGI Very efficient learning of structured classes of subsequential functions from positive data

JMLR: Workshop and Conference Proceedings 34:94–108, 2014 Proceedings of the 12th ICGI Very efficient learning of structured classes of subsequential functions from positive data

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Source URL: jmlr.org

Language: English - Date: 2014-08-26 06:56:50