TR-B Paper
Published:
Congratulations to Xiaoyu for her paper published in Transportation Research Part B.
Highlights
- A two-way deep reinforcement learning (RL) framework to mitigate UO-SO conflict.
- A Markov game for CAVs conducting en-route choices with information provision.
- A Markov decision process for the information provider to mitigate congestion.
- Customized RL methods capturing unique features and enhancing learning performance.
- Comprehensive theoretical analysis of Correlated Equilibrium in the proposed framework.