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Titlebook: Handbook of Reinforcement Learning and Control; Kyriakos G. Vamvoudakis,Yan Wan,Derya Cansever Book 2021 Springer Nature Switzerland AG 20

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书目名称Handbook of Reinforcement Learning and Control
编辑Kyriakos G. Vamvoudakis,Yan Wan,Derya Cansever
视频video
概述Enriches understanding of the applications of reinforcement learning for control of dynamic systems.Collates research from a wide-range of experts, creating a comprehensive guide.Discusses both theore
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Handbook of Reinforcement Learning and Control;  Kyriakos G. Vamvoudakis,Yan Wan,Derya Cansever Book 2021 Springer Nature Switzerland AG 20
描述.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. .
出版日期Book 2021
关键词Reinforcement Learning; Privacy and Security; Control Systems; Cyber-Physical Systems; Distributed Contr
版次1
doihttps://doi.org/10.1007/978-3-030-60990-0
isbn_softcover978-3-030-60992-4
isbn_ebook978-3-030-60990-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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