Handbook of Reinforcement Learning and Control - Studies in Systems, Decision and Control - - Libros - Springer Nature Switzerland AG - 9783030609894 - 24 de junio de 2021
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Handbook of Reinforcement Learning and Control - Studies in Systems, Decision and Control 2021 edition

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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. 

833 pages, 145 Illustrations, color; 14 Illustrations, black and white; XXIV, 833 p. 159 illus., 145

Medios de comunicación Libros     Hardcover Book   (Libro con lomo y cubierta duros)
Publicado 24 de junio de 2021
ISBN13 9783030609894
Editores Springer Nature Switzerland AG
Páginas 833
Dimensiones 150 × 220 × 20 mm   ·   1,37 kg
Lengua Alemán  
Editor Cansever, Derya
Editor Lewis, Frank L.
Editor Vamvoudakis, Kyriakos G.
Editor Wan, Yan

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