Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
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Title
Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
Authors
Keywords
Reinforcement learning, Logistics, Supply chain, Markov decision process, Q-learning, Actor-critic methods, Neural network
Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 162, Issue -, Pages 102712
Publisher
Elsevier BV
Online
2022-05-10
DOI
10.1016/j.tre.2022.102712
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