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Reinforcement Learning Algorithms: Analysis and Applications - Studies in Computational Intelligence Belousov 2021 edition
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Reinforcement Learning Algorithms: Analysis and Applications - Studies in Computational Intelligence
Belousov
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 | Böcker Inbunden Bok (Inbunden bok med hårda pärmar och skyddsomslag) |
| Releasedatum | 3 januari 2021 |
| ISBN13 | 9783030411879 |
| Utgivare | Springer Nature Switzerland AG |
| Antal sidor | 206 |
| Mått | 150 × 220 × 20 mm · 480 g |
| Språk | Tyska |
| Redaktör | Abdulsamad, Hany |
| Redaktör | Belousov, Boris |
| Redaktör | Klink, Pascal |
| Redaktör | Parisi, Simone |
| Redaktör | Peters, Jan |