Reinforcement learning and approximate dynamic programming for feedback control /

"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 s...

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Bibliographic Details
Other Authors: Lewis, Frank L., Liu, Derong, 1963-
Format: eBook
Language:English
Published: Hoboken, New Jersey : IEEE Press, [2012]
Series:IEEE series on computational intelligence.
Subjects:
Online Access:Full Text via HEAL-Link
Description
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"--
"Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"--
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781118453971
1118453972
9781118453933
111845393X
9781118453964
1118453964
9781118453988
1118453980
DOI:10.1002/9781118453988