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Reinforcement Learning Algorithms: Analysis and Applications - Studies in Computational Intelligence 2021 edition
Reinforcement Learning Algorithms: Analysis and Applications - Studies in Computational Intelligence
This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences.
206 pages, 35 Illustrations, color; 10 Illustrations, black and white; VIII, 206 p. 45 illus., 35 il
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | January 4, 2022 |
| ISBN13 | 9783030411909 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 206 |
| Dimensions | 150 × 220 × 10 mm · 308 g |
| Language | German |
| Editor | Abdulsamad, Hany |
| Editor | Belousov, Boris |
| Editor | Klink, Pascal |
| Editor | Parisi, Simone |
| Editor | Peters, Jan |