Synthesis Lectures on Learning, Networks, and Algorithms

Qin, Zhiwei (Tony); Tang, Xiaocheng; Li, Qingyang; Zhu, Hongtu; Ye, Jieping

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. 

Details

Published by: Springer

Publication Date: 2024-08-04

Format: Hardcover

ISBN-13: 9783031596391

DOI: 10.1007/978-3-031-59640-7

Dimensions: 240cm x168cm

Pages: 133