| 書目名稱 | Reinforcement Learning in the Ridesharing Marketplace |
| 編輯 | Zhiwei (Tony) Qin,Xiaocheng Tang,Jieping Ye |
| 視頻video | http://file.papertrans.cn/826/825943/825943.mp4 |
| 概述 | Explains the benefits of taking a reinforcement learning approach to ridesharing optimization problems.Analyzes a number of specific works that cover the optimization of ridesharing platforms using re |
| 叢書名稱 | Synthesis Lectures on Learning, Networks, and Algorithms |
| 圖書封面 |  |
| 描述 | 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.? |
| 出版日期 | Book 2025 |
| 關(guān)鍵詞 | Reinforcement Learning; Ridesharing; Dynamic Pricing; Routing; Vehicle Repositioning; Online Matching |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-59640-7 |
| isbn_softcover | 978-3-031-59642-1 |
| isbn_ebook | 978-3-031-59640-7Series ISSN 2690-4306 Series E-ISSN 2690-4314 |
| issn_series | 2690-4306 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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