Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling

no code implementations • 23 Dec 2023 • Xianjie Zhang, Jiahao Sun, Chen Gong, Kai Wang, Yifei Cao, Hao Chen, Yu Liu

The emergence of on-demand ride pooling services allows each vehicle to serve multiple passengers at a time, thus increasing drivers' income and enabling passengers to travel at lower prices than taxi/car on-demand services (only one passenger can be assigned to a car at a time like UberX and Lyft).

Reinforcement Learning (RL)