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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Detalles Bibliográficos
Autores principales: Yuan, Yunmei, Li, Hongyu, Ji, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487393/
https://www.ncbi.nlm.nih.gov/pubmed/34608384
http://dx.doi.org/10.1155/2021/5672227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487393/
https://www.ncbi.nlm.nih.gov/pubmed/34608384
http://dx.doi.org/10.1155/2021/5672227

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