most citedEnhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2024★ 1 cited

Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach

Zead Saleh, Ahmad Al Hanbali, Ahmad Baubaid

Crowdsourced delivery platforms face complex scheduling challenges to match couriers and customer orders. We consider two types of crowdsourced couriers, namely, committed and occa…