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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2022. gada 3. decembris |
| ISBN13 | 9783031076121 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 243 |
| Izmēri | 150 × 220 × 20 mm · 559 g |
| Valoda | Vācu |
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