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Lewis, Frank L.

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Lewis, Frank L. - Reinforcement Learning and Approximate Dynamic Programming for Feedback Control, ebook

144,30€

Ebook, ePUB with Adobe DRM
ISBN: 9781118453971
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Printing194 pages with an additional page accrued every 4 hours, capped at 194 pages
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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.

Keywords: Intelligent Systems & Agents, reinforcement learning and approximate dynamic programming for feedback control, reinforcement learning, adaptive control, stochastic learning, function approximators, frank lewis, derong liu, cao, busoniuReinforcement learning, approximate dynamic programming, optimal control systems, adaptive dynamic programming, policy iteration, value iteration

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2013
Language
en
Edition
1
Series
IEEE Press Series on Computational Intelligence
Page amount
648 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (ePUB)
9781118453971
Printed ISBN
9781118104200

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