Reinforcement learning and approximate dynamic programming for feedback control - Info and Reading Options
By Frank L. Lewis and Derong Liu

"Reinforcement learning and approximate dynamic programming for feedback control" was published by IEEE Press in 2012 - nju and the language of the book is English.
“Reinforcement learning and approximate dynamic programming for feedback control” Metadata:
- Title: ➤ Reinforcement learning and approximate dynamic programming for feedback control
- Authors: Frank L. LewisDerong Liu
- Language: English
- Publisher: IEEE Press
- Publish Date: 2012
- Publish Location: nju
“Reinforcement learning and approximate dynamic programming for feedback control” Subjects and Themes:
- Subjects: ➤ Feedback control systems - TECHNOLOGY & ENGINEERING / Electronics / General - Reinforcement learning - Machine learning - Reinforcement (psychology)
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL25371922M - OL16699673W
- Library of Congress Control Number (LCCN): 2012019014 - 2012027755
- ISBN-13: 9781118104200
- All ISBNs: 9781118104200
AI-generated Review of “Reinforcement learning and approximate dynamic programming for feedback control”:
"Reinforcement learning and approximate dynamic programming for feedback control" Description:
The Open Library:
"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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