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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 | Książki Paperback Book (Książka z miękką okładką i klejonym grzbietem) |
| Wydane | 4 stycznia 2022 |
| ISBN13 | 9783030411909 |
| Wydawcy | Springer Nature Switzerland AG |
| Strony | 206 |
| Wymiary | 150 × 220 × 10 mm · 308 g |
| Język | Niemiecki |
| Redaktor | Abdulsamad, Hany |
| Redaktor | Belousov, Boris |
| Redaktor | Klink, Pascal |
| Redaktor | Parisi, Simone |
| Redaktor | Peters, Jan |