Preprint
Aug 2026
Vehicle routing problem using deep reinforcement learning - A case study about truck planning in the industry
This paper discusses and provides solutions for three different logistic use cases involving external truck network design and proposes that in future research, DRL algorithms for vehicle routing problems could be generalized into more variations of VRP.
Siliang Lu, Danxin Hu, Lili Wu
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