Reinforcement learning and approximate dynamic programming for feedback control
By: edited by Frank L. Lewis, Derong Liu
Publisher: IEEE Press
Published: 2012
Language: eng
ISBN-13: 9781118104200
Subjects: Feedback control systems; TECHNOLOGY & ENGINEERING / Electronics / General; Reinforcement learning
Description: "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"--