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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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2013]
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| Series: | IEEE series on computational intelligence.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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"-- |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xxvi, 613 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118453988 (electronic bk.) 1118453980 (electronic bk.) 9781118453933 (electronic bk.) 111845393X (electronic bk.) |