Application of Deep Reinforcement Learning Algorithm in Uncertain Logistics Transportation Scheduling

Application of Deep Reinforcement Learning Algorithm in Uncertain Logistics Transportation Scheduling

Nowadays, finding the optimal route for vehicles through online vehicle path planning is one of the main problems that the logistics industry needs to solve. Due to the uncertainty of the transportation system, especially the last-mile delivery problem of small packages in uncertain logistics transp...

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Bibliographic Details
Main Authors:	Yunmei Yuan, Hongyu Li, Lili Ji
Format:	Article
Language:	English
Published:	Hindawi Limited 2021-01-01
Series:	Computational Intelligence and Neuroscience
Online Access:	http://dx.doi.org/10.1155/2021/5672227

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