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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| Weitere Verfasser: | , |
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2013
Piscataway, NJ IEEE Press 2013 |
| Schriftenreihe: | IEEE Press series on computational intelligence
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| Schlagworte: | |
| Online Zugang: | Cover Full Text |
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| Zusammenfassung: | "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"-- "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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| Beschreibung: | Literaturverz |
| Beschreibung: | XXVI, 613 S. graph. Darst. 24 cm |
| ISBN: | 111810420X 1-118-10420-X 9781118104200 978-1-118-10420-0 |