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...
Άλλοι συγγραφείς: | , |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken, New Jersey :
IEEE Press,
[2012]
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Σειρά: | IEEE series on computational intelligence.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | "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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Φυσική περιγραφή: | 1 online resource. |
Βιβλιογραφία: | Includes bibliographical references and index. |
ISBN: | 9781118453971 1118453972 9781118453933 111845393X 9781118453964 1118453964 9781118453988 1118453980 |
DOI: | 10.1002/9781118453988 |