Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach

Stephen Mak; Liming Xu; Tim Pearce; Michael Ostroumov; Alexandra Brintrup

doi:10.1016/j.trc.2023.104376

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JOURNAL ARTICLE

Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach

Stephen Mak Liming Xu Tim Pearce Michael Ostroumov Alexandra Brintrup

Year: 2023 Journal: Transportation Research Part C Emerging Technologies Vol: 157 Pages: 104376-104376 Publisher: Elsevier BV

DOI: 10.1016/j.trc.2023.104376

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Keywords:

Reinforcement learning Computer science Vehicle routing problem Function (biology) Shapley value Profit (economics) Routing (electronic design automation) Mathematical optimization Game theory Operations research Computer network Artificial intelligence Microeconomics Economics Engineering

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Transportation and Mobility Innovations

Physical Sciences → Engineering → Automotive Engineering

Supply Chain and Inventory Management

Social Sciences → Business, Management and Accounting → Management Information Systems

Auction Theory and Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach

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