Reinforcement Learning in the Ridesharing Marketplace
2025 ed.
Book Details
Format
Hardback or Cased Book
ISBN-10
3031596390
ISBN-13
9783031596391
Edition
2025 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 4th, 2024
Print length
133 Pages
Product Classification:
Business mathematics & systemsBusiness mathematics and systemsNumerical analysisDigital and Information technology: general topicsInformation technology: general issuesAlgorithms & data structuresAlgorithms and data structuresArtificial intelligenceArtificial intelligence (AI)Machine learning
Ksh 6,300.00
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This book provides a comprehensive overview of reinforcement learning for ridesharing applications. 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.
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.
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