Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

by Lewis, Frank L. Liu, Derong

Type Book
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Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely gui…

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Title Statements

  • Full title :Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Summary

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.

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Edition Statements

  • Publication Date:2013
  • Edition:1., Auflage

Publication Statements

  • Publisher(s):John Wiley & Sons
  • Place of Publication:New York, NY
  • Language:eng
  • Publication Date:2013

Notes

Lizenzpflichtig

The Physical Object

  • Description:Online-Ressource.

Edition Identifiers

  • ISBN:9781118453971, 1118453972, 9781118104200, 111810420X, 9781118453933, 111845393X, 9781118453988, 1118453980
  • oclc:ocn884242165
  • LC Classification:Q325.6 .R464 2012
  • Dewey Decimal:621.3

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