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 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 gui…
Read More ↓Title Statements
- Full title :Reinforcement Learning and Approximate Dynamic Programming for Feedback Control.
Summary
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 de.
Read More ↓Edition Statements
- Publication Date:2013.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:New York
- Language:eng
- Publication Date:2013.
The Physical Object
- Description:1 online resource (643 pages).
Edition Identifiers
- ISBN:9781118453933, 111845393X, 9781118453988, 1118453980, 9781118104200, 111810420X
- DOI:10.1002/9781118453988.
- oclc:ocn827481625
- LC Classification:Q325.6 .R464 2012
- Dewey Decimal:003.5
Table of Contents
Pt. 1. Feedback control using RL and ADP -- pt. 2. Learning and control in multiagent games -- pt. 3. Foundations in MDP and RL.
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