Handbook of Reinforcement Learning and Control - Studies in Systems, Decision and Control -  - Books - Springer Nature Switzerland AG - 9783030609894 - June 24, 2021
In case cover and title do not match, the title is correct

Handbook of Reinforcement Learning and Control - Studies in Systems, Decision and Control 2021 edition

Price
$ 256.49
excl. VAT

Ordered from remote warehouse

Expected to be ready for shipping Jul 15 - 21
Add to your iMusic wish list

Not rated yet

Also available as:

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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released June 24, 2021
ISBN13 9783030609894
Publishers Springer Nature Switzerland AG
Pages 833
Dimensions 150 × 220 × 20 mm   ·   1.37 kg
Language German  
Editor Cansever, Derya
Editor Lewis, Frank L.
Editor Vamvoudakis, Kyriakos G.
Editor Wan, Yan

Mere med samme udgiver