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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 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"--
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Previews available in: English
Showing 4 featured editions. View all 4 editions?
Edition | Availability |
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1
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
2013, Wiley & Sons, Incorporated, John
in English
1118453964 9781118453964
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2
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
2013, Wiley & Sons, Incorporated, John
in English
1118453972 9781118453971
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3
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
2013, Wiley & Sons, Incorporated, John
in English
111845393X 9781118453933
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4
Reinforcement learning and approximate dynamic programming for feedback control
2012, IEEE Press
in English
111810420X 9781118104200
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- Created July 11, 2012
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June 7, 2023 | Edited by ImportBot | import existing book |
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July 11, 2012 | Created by LC Bot | Imported from Library of Congress MARC record |