Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Demos. Pages 6566-6568.
https://doi.org/10.24963/ijcai.2019/958
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.
Keywords:
AI: Machine Learning
AI: Multiagent Systems
AI: Planning and Scheduling
Applications: Transport and logistics