Verfügbarkeit: Multi-agent machine learning

Multi-agent machine learning: a reinforcement approach

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Bibliographische Detailangaben
1. Verfasser:	Schwartz, Howard M. (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Hoboken, New Jersey John Wiley & Sons, Inc. 2014
Schlagworte:	Reinforcement learning Differential games Swarm intelligence Machine learning Maschinelles Lernen Mehragentensystem Bestärkendes Lernen > Künstliche Intelligenz Schwarmintelligenz
Beschreibung:	Description based on print version record
Beschreibung:	1 online resource (257 pages) illustrations
ISBN:	9781118362082 9781118884478

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Datensatz im Suchindex

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dewey-tens	510 - Mathematics
discipline	Mathematik
format	Electronic eBook
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isbn	9781118362082 9781118884478
language	English
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publisher	John Wiley & Sons, Inc.
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spelling	Schwartz, Howard M. aut Multi-agent machine learning a reinforcement approach Howard M. Schwartz Hoboken, New Jersey John Wiley & Sons, Inc. 2014 © 2014 1 online resource (257 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Description based on print version record Reinforcement learning Differential games Swarm intelligence Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Mehragentensystem (DE-588)4389058-1 gnd rswk-swf Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd rswk-swf Schwarmintelligenz (DE-588)4793676-9 gnd rswk-swf Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 s Schwarmintelligenz (DE-588)4793676-9 s Maschinelles Lernen (DE-588)4193754-5 s 1\p DE-604 Mehragentensystem (DE-588)4389058-1 s 2\p DE-604 Erscheint auch als Druck-Ausgabe Schwartz, Howard M . Multi-agent machine learning : a reinforcement approach 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Schwartz, Howard M. Multi-agent machine learning a reinforcement approach Reinforcement learning Differential games Swarm intelligence Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Mehragentensystem (DE-588)4389058-1 gnd Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd Schwarmintelligenz (DE-588)4793676-9 gnd
subject_GND	(DE-588)4193754-5 (DE-588)4389058-1 (DE-588)4825546-4 (DE-588)4793676-9
title	Multi-agent machine learning a reinforcement approach
title_auth	Multi-agent machine learning a reinforcement approach
title_exact_search	Multi-agent machine learning a reinforcement approach
title_full	Multi-agent machine learning a reinforcement approach Howard M. Schwartz
title_fullStr	Multi-agent machine learning a reinforcement approach Howard M. Schwartz
title_full_unstemmed	Multi-agent machine learning a reinforcement approach Howard M. Schwartz
title_short	Multi-agent machine learning
title_sort	multi agent machine learning a reinforcement approach
title_sub	a reinforcement approach
topic	Reinforcement learning Differential games Swarm intelligence Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Mehragentensystem (DE-588)4389058-1 gnd Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd Schwarmintelligenz (DE-588)4793676-9 gnd
topic_facet	Reinforcement learning Differential games Swarm intelligence Machine learning Maschinelles Lernen Mehragentensystem Bestärkendes Lernen Künstliche Intelligenz Schwarmintelligenz
work_keys_str_mv	AT schwartzhowardm multiagentmachinelearningareinforcementapproach

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