株式会社極東書店トップ ＞ 商品一覧 ＞ Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms. 2022 ed.
商品詳細
Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms. 2022 ed.
・ISBN 978-3-031-10892-1 paper EUR 149.99
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| 著者・編者 | Dimitrakakis, Christos / Ortner, Ronald, |
|---|---|
| シリーズ | (Intelligent Systems Reference Library) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 243 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-1031＞ |
解説
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. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in
introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning.