Electronic Resource

Handbook of Reinforcement Learning and Control

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Penilaian

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This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology.

The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including:

deep learning;
artificial intelligence;
applications of game theory;
mixed modality learning; and
multi-agent reinforcement learning.
Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001625	EB0002231	006.31 Han	Central Library (OPAC)	Available but not for loan - Not for Loan

Detail Information

Series Title

Studies in Systems, Decision and Control

Call Number

006.31 Han

Publisher

Switzerland : Springer Cham., 2021

Collation

XXIV, 833p.:Ill

Language

English

ISBN/ISSN

978-3-030-60990-0

Classification

006.31

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Reinforcement learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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