Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Editor(s): Frank L. Lewis, Derong Liu

Published Online: 7 FEB 2013

Print ISBN: 9781118104200

Online ISBN: 9781118453988

DOI: 10.1002/9781118453988

About this Book

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.

Table of contents

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  1. Part I: Feedback Control Using RL and ADP

  2. Part II: Learning and Control in Multiagent Games

  3. Part III: Foundations in MDP and RL

    1. You have free access to this content
    1. You have free access to this content

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