Reinforcement Learning

Name: Reinforcement Learning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642276446
Price: 1866.0 RON
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Autor: Marco Wiering, Martijn van Otterlo

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Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

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Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncerta...

Informații despre carte

Autor

Marco Wiering, Martijn van Otterlo

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2012

Pagini

638

EAN

9783642276446

ISBN

364227644X

Enbook ID

01660411

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

1166

Dimensiuni

155 x 235 x 40

Descriere completă

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.

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