Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

Zhiwei Tony Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun Tracy Li

Abstract: In this demo, we will present a simulation-based human-computer interaction of deep reinforcement learning in action on order dispatching and driver repositioning for ride-sharing.  Specifically, we will demonstrate through several specially designed domains how we use deep reinforcement learning to train agents (drivers) to have longer optimization horizon and to cooperate to achieve higher objective values collectively.