Xingshuai Huang

Towards Enhanced Fairness and Sample Efficiency in Traffic Signal Control

Traffic signal control (TSC) has seen substantial advancements through the application of reinforcement learning (RL) algorithms, which have shown remarkable potential in enhancing traffic flow efficiency. These RL-based approaches often surpass traditional rule-based methods, particularly in dynami