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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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 4 de enero de 2022 |
| ISBN13 | 9783030411909 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 206 |
| Dimensiones | 150 × 220 × 10 mm · 308 g |
| Lengua | Alemán |
| Editor | Abdulsamad, Hany |
| Editor | Belousov, Boris |
| Editor | Klink, Pascal |
| Editor | Parisi, Simone |
| Editor | Peters, Jan |