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Advances in Reinforcement Learning

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Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.

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Series Title

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Call Number

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Publisher

: InTechOpen., 2011

Collation

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Language

English

ISBN/ISSN

9789533073699

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

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Specific Detail Info

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Statement of Responsibility

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Other Information

Cataloger

Hasan

Source

https://directory.doabooks.org/handle/20.500.12854/64908

Validator

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Digital Object Identifier (DOI)

10.5772/557

Journal Volume

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Journal Issue

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Subtitle

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