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ISBN10: 364227644X, ISBN13: 9783642276446, [publisher: Springer Berlin Heidelberg] Hardcover 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 intel ...
ISBN10: 364227644X, ISBN13: 9783642276446, [publisher: Springer Berlin Heidelberg] Hardcover 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 intel ...
Springer-Verlag New York Inc, Date: 2012. Hardcover. New. 2012 edition. 672 pages. 9.25x6.25x1.75 inches. 2012. Springer-Verlag New York Inc ISBN 364227644X 9783642276446 [GB]
ISBN10: 364227644X, ISBN13: 9783642276446, [publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG] Hardcover This book presents up-to-date information on the main contemporary sub-fields of reinforcement learning, including partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Editor(s): Wiering, Marco; Otterlo, Martijn van. Series: Adaptation, Learning, and Optimization. Num Pages: 638 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 38. Weight in Grams: 1166. . 2012. Hardback. . . . . [Galway, GY, Ireland] [Publication Year: 2012]
ISBN10: 364227644X, ISBN13: 9783642276446, [publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG] Hardcover This book presents up-to-date information on the main contemporary sub-fields of reinforcement learning, including partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Editor(s): Wiering, Marco; Otterlo, Martijn van. Series: Adaptation, Learning, and Optimization. Num Pages: 638 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 38. Weight in Grams: 1166. . 2012. Hardback. . . . . Books ship from the US and Ireland. [Olney, MD, U.S.A.] [Publication Year: 2012]
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