Chilin Fang

OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control

Efficient traffic signal control is an important means to alleviate urban traffic congestion. Reinforcement learning (RL) has shown great potentials in devising optimal signal plans that can adapt to dynamic traffic congestion. However, several challenges still need to be overcome. Firstly, a paradi…