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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
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 4 janvier 2022 |
| ISBN13 | 9783030411909 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 206 |
| Dimensions | 150 × 220 × 10 mm · 308 g |
| Langue et grammaire | Allemand |
| Éditeur | Abdulsamad, Hany |
| Éditeur | Belousov, Boris |
| Éditeur | Klink, Pascal |
| Éditeur | Parisi, Simone |
| Éditeur | Peters, Jan |