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商品詳細
Reinforcement Learning in the Ridesharing Marketplace.
・ISBN 978-3-031-59642-1 paper EUR 39.99
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お気に入り
★★★
| 著者・編者 | Qin, Zhiwei (Tony) / Tang, Xiaocheng / Li, Qingyang / Zhu, Hongtu / Ye, Jieping, |
|---|---|
| シリーズ | (Synthesis Lectures on Learning, Networks, and Algorithms) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 133 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-88987＞ |
解説
This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ridesharing system architectures and review the basics of reinforcement learning, including the major applicable algorithms. The book describes the research problems associated with the various aspects of a ridesharing system and discusses the existing reinforcement learning approaches for solving them. The authors survey the existing research on each problem, and then examine specific case studies. The book also includes a review of two of methods closely related to reinforcement learning: approximate dynamic programming and model-predictive control.