TR-B Paper

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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.