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Reinforcement Learning Algorithms: Analysis and Applications - Studies in Computational Intelligence 2021 edition
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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
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2022年1月4日 |
| ISBN13 | 9783030411909 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 206 |
| 商品尺寸 | 150 × 220 × 10 mm · 308 g |
| 语言 | 德语 |
| 编辑 | Abdulsamad, Hany |
| 编辑 | Belousov, Boris |
| 编辑 | Klink, Pascal |
| 编辑 | Parisi, Simone |
| 编辑 | Peters, Jan |