國立虎尾科技大學 |

Reinforcement learning and approximate dynamic programming for feedback control /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Reinforcement learning and approximate dynamic programming for feedback control // edited by Frank L. Lewis, Derong Liu.
其他作者:	Lewis, Frank L.
面頁冊數:	1 online resource (xxvi, 613 pages) :illustrations. :
標題:	Reinforcement learning. -
電子資源:	http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6462203
ISBN:	9781118453988 (electronic bk.)

Reinforcement learning and approximate dynamic programming for feedback control /
Reinforcement learning and approximate dynamic programming for feedback control /edited by Frank L. Lewis, Derong Liu. - 1 online resource (xxvi, 613 pages) :illustrations. - IEEE Press series on computational intelligence. - IEEE series on computational intelligence..

Includes bibliographical references and index.

"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"--

ISBN: 9781118453988 (electronic bk.)

Source: 450235MIL

LCCN: 2012027755Subjects--Topical Terms:

815404
Reinforcement learning.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q325.6 / .R464 2013

Dewey Class. No.: 003/.5

Reinforcement learning and approximate dynamic programming for feedback control /
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245 0 0 $a Reinforcement learning and approximate dynamic programming for feedback control / $c edited by Frank L. Lewis, Derong Liu.
264 1 $a Hoboken, New Jersey : $b John Wiley & Sons, Inc., $c [2013]
300 $a 1 online resource (xxvi, 613 pages) : $b illustrations.
336 $a text $b txt $2 rdacontent
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490 1 $a IEEE Press series on computational intelligence
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
520 $a "Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"-- $c Provided by publisher.
588 $a Description based on online resource; title from digital title page (viewed April 10, 2013).
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650 0 $a Feedback control systems. $3 596555
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