A Deep Reinforcement Learning Approach for the Meal Delivery Problem

Abstract

Our MDP model for the courier assignment task characterizes on-demand meal delivery service.• We tailor deep reinforcement learning algorithms to address the problem in a dynamic environment.• We incorporate the notion of order rejection to reduce the number of late orders.• We investigate the importance of intelligent repositioning of the couriers during their idle times.