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E-RESOURCE

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

Published Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (xxvi, 613 pages) : illustrations.
Series IEEE Press series on computational intelligence
IEEE series on computational intelligence.
Bibliography 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.
Notes Description based on online resource; title from digital title page (viewed April 10, 2013).
Other author Lewis, Frank L.
Liu, Derong, 1963-
Subject Reinforcement learning.
Feedback control systems.
TECHNOLOGY & ENGINEERING -- Electronics -- General.
COMPUTERS -- Cybernetics.
Electronic books.
Electronic books.
ISBN 9781118453988 (electronic bk.)
1118453980 (electronic bk.)
9781118453933 (electronic bk.)
111845393X (electronic bk.)
9781118453964
1118453964
9781118453971
1118453972
9781118104200 (hardback)
111810420X
9781299189850
1299189857