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科图分类法:
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TP181 版次： |
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中图分类法:
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TP181 版次： |
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题名:
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Reinforcement learning and approximate dynamic programming for feedback control / / , |
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出版发行:
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出版地： Piscataway, NJ : 出版社： IEEE Press ; 出版日期： 2013. |
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载体形态:
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xxvi, 613 pages : illustrations ; 24 cm. |
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内容提要:
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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"--Provided by publisher. |
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内容提要:
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"Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"--Provided by publisher. |
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主题词:
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Reinforcement learning. |
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主题词:
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Feedback control systems. |
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主要责任者:
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Lewis, Frank L. |
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主要责任者:
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Liu, Derong, |
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索书号:
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1 |