Open AccessGlobal synchromodal shipment matching problem with dynamic and stochastic travel times: a reinforcement learning approach
Author(s) -
Wenjing Guo,
Bilge Atasoy,
Rudy R. Negenborn
Publication year - 2022
Publication title -
annals of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.068
H-Index - 105
eISSN - 1572-9338
pISSN - 0254-5330
DOI - 10.1007/s10479-021-04489-z
Subject(s) - reinforcement learning , computer science , operations research , matching (statistics) , time horizon , markov decision process , service (business) , stochastic programming , fleet management , truck , mathematical optimization , container (type theory) , transshipment (information security) , markov process , economics , artificial intelligence , engineering , mathematics , mechanical engineering , statistics , economy , aerospace engineering , telecommunications
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