Search Results for author:
Found 2 papers, 0 papers with code
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration
This paper investigates the problem of assigning shipping requests to ad hoc couriers in the context of crowdsourced urban delivery.
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
While many promising applications have been reported in the literature, there remains a lack of comprehensive synthesis of the many DRL algorithms and their uses and adaptations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
