Items related to Reinforcement Learning: State-of-the-Art (Adaptation,...
Synopsis
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.
The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.
Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledge
representation in reinforcement learning settings.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2012
- ISBN 10 364227644X
- ISBN 13 9783642276446
- BindingHardcover
- LanguageEnglish
- Number of pages672
- EditorWiering Marco, Van Otterlo Martijn
Buy New
View this item
US$ 403.52
Shipping:
US$ 15.90
From United Kingdom to U.S.A.
Other Popular Editions of the Same Title
Search results for Reinforcement Learning: State-of-the-Art (Adaptation,...
Stock Image
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization, 12)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783642276446_new
Quantity: Over 20 available
Seller Image
Reinforcement Learning
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 364227644X
ISBN 13: 9783642276446
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers all important recent developments in reinforcement learningVery good introduction and explanation of the different emerging areas in Reinforcement LearningIncludes a survey of previous papers written on the topicCo. Seller Inventory # 5055345
Quantity: Over 20 available
Stock Image
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization, 12)
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9783642276446
Quantity: Over 20 available
Seller Image
Reinforcement Learning
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2012, 2012
ISBN 10: 364227644X
ISBN 13: 9783642276446
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledgerepresentation in reinforcement learning settings. 672 pp. Englisch. Seller Inventory # 9783642276446
Quantity: 2 available
Seller Image
Reinforcement Learning : State-of-the-Art
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2012
ISBN 10: 364227644X
ISBN 13: 9783642276446
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledgerepresentation in reinforcement learning settings. Seller Inventory # 9783642276446
Quantity: 1 available
Stock Image
Reinforcement Learning: State-of-the-Art
Published by
Springer-Verlag New York Inc, 2012
ISBN 10: 364227644X
ISBN 13: 9783642276446
New
Hardcover
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 2012 edition. 672 pages. 9.25x6.25x1.75 inches. In Stock. Seller Inventory # x-364227644X
Quantity: 2 available