Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates

no code implementations • 2 Jul 2022 • Yuanyuan Li, Claudia Archetti, Ivana Ljubic

In this paper, we study a sequential decision making problem faced by e-commerce carriers related to when to send out a vehicle from the central depot to serve customer requests, and in which order to provide the service, under the assumption that the time at which parcels arrive at the depot is stochastic and dynamic.

Decision Making reinforcement-learning +2