Reinforcement Learning and Approximate Dynamic Programming for Feedback Control e-bog
1313,81 DKK
(inkl. moms 1642,26 DKK)
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...
E-bog
1313,81 DKK
Forlag
Wiley-IEEE Press
Udgivet
28 januar 2013
Genrer
Electronics and communications engineering
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781118453971
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.