Povej prijatelju o tem izdelku:
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
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 4. januarja 2022 |
| ISBN13 | 9783030411909 |
| Založniki | Springer Nature Switzerland AG |
| Strani | 206 |
| Dimenzije | 150 × 220 × 10 mm · 308 g |
| Jezik | Nemščina |
| Urednik | Abdulsamad, Hany |
| Urednik | Belousov, Boris |
| Urednik | Klink, Pascal |
| Urednik | Parisi, Simone |
| Urednik | Peters, Jan |