Reinforcement learning and approximate dynamic programming for feedback control
Lewis, Frank L.
Reinforcement learning and approximate dynamic programming for feedback control edited by Frank L. Lewis, U TA Automation and Robotics Research Insitute, Derong Liu, University of Illinois, Chicago, IL. - New Jersey: Wiley, c2013. - xxvi, 613 pages : illustrations ; 24 cm. - IEEE Press series on computational intelligence .
"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"--
9781118104200
2012019014
Reinforcement learning.
Feedback control systems.
TECHNOLOGY & ENGINEERING / Electronics / General.
Q325.6 / .R464 2013
003.5 / LEW-R
Reinforcement learning and approximate dynamic programming for feedback control edited by Frank L. Lewis, U TA Automation and Robotics Research Insitute, Derong Liu, University of Illinois, Chicago, IL. - New Jersey: Wiley, c2013. - xxvi, 613 pages : illustrations ; 24 cm. - IEEE Press series on computational intelligence .
"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"--
9781118104200
2012019014
Reinforcement learning.
Feedback control systems.
TECHNOLOGY & ENGINEERING / Electronics / General.
Q325.6 / .R464 2013
003.5 / LEW-R