GMIX: Graph-based spatial–temporal multi-agent reinforcement learning for dynamic electric vehicle dispatching system

journal contribution

posted on 2023-02-14, 03:04 authored by Tao ZhouTao Zhou, Kris LawKris Law, Douglas CreightonDouglas Creighton, C Wu

GMIX: Graph-based spatial–temporal multi-agent reinforcement learning for dynamic electric vehicle dispatching system

History

Journal

Transportation Research Part C: Emerging Technologies

Volume

144

Article number

ARTN 103886

ISSN

0968-090X

eISSN

1879-2359

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000874665700006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Publication URL

http://dx.doi.org/10.1016/j.trc.2022.103886

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Keywords

Science & Technology Technology Transportation Science & Technology Transportation Dynamic electric vehicle routing Spatio-temporal graph attention network Multi-agent soft policy gradient Graph-based mixing network ROUTING PROBLEM HYBRID

Licence

All Rights Reserved

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