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Title:

Reinforcement learning and approximate dynamic programming for feedback control / edited by Frank L. Lewis, Derong Liu.

Publisher:

IEEE Press ;

Copyright Date:

2013

Description:

xxvi, 613 p. : ill. ; 24 cm.

Subject:

Reinforcement learning.
Feedback control systems.

Other Authors:

Lewis, Frank L.
Liu, Derong, 1963-

Notes:

Includes bibliographical references and index.

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 decision-making"-- Provided by publisher.
"Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"-- Provided by publisher.

Series:

IEEE Press series on computational intelligence

ISBN:

111810420X (hardback)
9781118104200 (hardback)

OCLC:

(OCoLC)796758816

LCCN:

2012019014

Locations:

USUX851 -- Iowa State University - Parks Library (Ames)