Reinforcement Learning in the Ridesharing Marketplace

Author:   Zhiwei (Tony) Qin ,  Xiaocheng Tang ,  Qingyang Li ,  Hongtu Zhu
Publisher:   Springer International Publishing AG
ISBN:  

9783031596421


Pages:   133
Publication Date:   04 August 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Reinforcement Learning in the Ridesharing Marketplace


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Author:   Zhiwei (Tony) Qin ,  Xiaocheng Tang ,  Qingyang Li ,  Hongtu Zhu
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031596421


ISBN 10:   3031596420
Pages:   133
Publication Date:   04 August 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Ridesharing.- Reinforcement Learning Prime.- Pricing & Incentives.- Online Matching.- Vehicle Repositioning.- Routing.- Ride-pooling.- Related Methods.- Open Resources.- Challenges and Opportunities.- Closing Remarks.

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Author Information

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.  

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