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portada Handbook of Reinforcement Learning and Control
Type
Physical Book
Publisher
Author
Language
English
Pages
833
Format
Paperback
Dimensions
23.4 x 15.6 x 4.3 cm
Weight
1.18 kg.
ISBN13
9783030609924
Categories

Handbook of Reinforcement Learning and Control

Vamvoudakis, Kyriakos G. ; Wan, Yan ; Lewis, Frank L. (Author) · Springer · Paperback

Handbook of Reinforcement Learning and Control - Vamvoudakis, Kyriakos G. ; Wan, Yan ; Lewis, Frank L.

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Synopsis "Handbook of Reinforcement Learning and Control"

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; andmulti-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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