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Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms - Intelligent Systems Reference Library Christos Dimitrakakis 2022 edition
Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms - Intelligent Systems Reference Library
Christos Dimitrakakis
This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume.
243 pages, 62 Illustrations, color; 5 Illustrations, black and white; XIII, 243 p. 67 illus., 62 ill
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2022年12月3日 |
| ISBN13 | 9783031076121 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 243 |
| 寸法 | 150 × 220 × 20 mm · 559 g |
| 言語 | ドイツ語 |