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

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Handbook of Reinforcement Learning and Control 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030609924

Paperback

Handbook of Reinforcement Learning and Control 2021, Springer, Cham

ISBN-13: 9783030609894

2021 edition

Hardcover