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.
| ISBN: | 9781118104200 |
| Publication date: | 12th February 2013 |
| Author: | Frank L Lewis, Derong Liu |
| Publisher: | Wiley-IEEE Press an imprint of Wiley |
| Format: | Hardback |
| Pagination: | 640 pages |
| Series: | IEEE Press Series on Computational Intelligence |
| Genres: |
Electronics and communications engineering |
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.
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control features in the following genres: Electronics and communications engineering
Hardback. £123.26, down from the £136.95 cover price. Not Available.
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control was written by Frank L Lewis, Derong Liu and published by Wiley-IEEE Press an imprint of Wiley
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control has 640 pages
Yes it is part of IEEE Press Series on Computational Intelligence series
£123.26, reduced from £136.95. Not Available.