Handbook of Reinforcement Learning and Control - Studies in Systems, Decision and Control - - Grāmatas - Springer Nature Switzerland AG - 9783030609894 - 2021. gada 24. jūnijs
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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

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2021. gada 24. jūnijs
ISBN13 9783030609894
Izdevēji Springer Nature Switzerland AG
Lapas 833
Izmēri 150 × 220 × 20 mm   ·   1,37 kg
Valoda Vācu  
Redaktors Cansever, Derya
Redaktors Lewis, Frank L.
Redaktors Vamvoudakis, Kyriakos G.
Redaktors Wan, Yan

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