Reinforcement Learning in the Ridesharing Marketplace

Qin, Tang, Xiaocheng, Li, Qingyang

Reinforcement Learning in the Ridesharing Marketplace
  • 出版商: Springer
  • 出版日期: 2024-08-04
  • 售價: $1,940
  • 貴賓價: 9.5 折 $1,843
  • 語言: 英文
  • 頁數: 129
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031596390
  • ISBN-13: 9783031596391
  • 相關分類: Reinforcement、DeepLearning

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書提供了針對共乘應用的強化學習的全面概述。作者首先闡述了共乘系統架構的基本原理，並回顧了強化學習的基本概念，包括主要的適用算法。本書描述了與共乘系統各個方面相關的研究問題，並討論了解決這些問題的現有強化學習方法。作者調查了每個問題的現有研究，然後檢視具體的案例研究。本書還包括對兩種與強化學習密切相關的方法的回顧：近似動態規劃和模型預測控制。

作者簡介

Zhiwei (Tony) Qin, Ph.D., is a Principal Scientist at Lyft Rideshare Labs. He earned his Ph.D. from Columbia University. His research interests include operations research, machine learning, deep learning, and big data analytics, with applications in smart transportation and E-commerce.

Xiaocheng Tang, Ph.D., is an AI Research Scientist at Meta. He earned his Ph.D. from Lehigh University. His research interests lie at the intersection of machine learning, reinforcement learning, and optimization.

Qingyang Li, Ph.D., is a Senior Engineering Manager at DiDi Autonomous Driving. He earned his Ph.D. from Arizona State University. His research interests include machine learning, deep learning, reinforcement learning, and computer vision.

Jieping Ye, Ph.D. is affiliated with the Alibaba Group. He earned his Ph.D. from the University of Minnesota. His research interests include machine learning, data mining, artificial intelligence, transportation, and biomedical informatics.

Hongtu Zhu, Ph.D. is a Professor in the Department of Biostatics at The University of North Carolina at Chapel Hill. He earned his Ph.D. at The Chinese University of Hong Kong. His research interests include medical imaging analysis, imaging genetics, artificial intelligence, statistics, biostatics, and computational neuroscience.

作者簡介(中文翻譯)

Zhiwei (Tony) Qin, Ph.D.，是 Lyft Rideshare Labs 的首席科學家。他在哥倫比亞大學獲得博士學位。他的研究興趣包括運籌學、機器學習、深度學習和大數據分析，應用於智慧交通和電子商務。

Xiaocheng Tang, Ph.D.，是 Meta 的人工智慧研究科學家。他在萊海大學獲得博士學位。他的研究興趣位於機器學習、強化學習和優化的交集。

Qingyang Li, Ph.D.，是 DiDi Autonomous Driving 的高級工程經理。他在亞利桑那州立大學獲得博士學位。他的研究興趣包括機器學習、深度學習、強化學習和計算機視覺。

Jieping Ye, Ph.D.，與阿里巴巴集團有關。他在明尼蘇達大學獲得博士學位。他的研究興趣包括機器學習、數據挖掘、人工智慧、交通運輸和生物醫學資訊學。

Hongtu Zhu, Ph.D.，是北卡羅來納大學教堂山分校生物統計學系的教授。他在香港中文大學獲得博士學位。他的研究興趣包括醫學影像分析、影像遺傳學、人工智慧、統計學、生物統計學和計算神經科學。

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