2 papers
cs.MA2025
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
Yihong Li, Chengwei Zhang, Furui Zhan +3
Multi-agent reinforcement learning (MARL) has shown significant potential in traffic signal control (TSC). However, current MARL-based methods often suffer from insufficient genera…
cs.LG2025
Using a single actor to output personalized policy for different intersections
Kailing Zhou, Chengwei Zhang, Furui Zhan +2
Recently, with the development of Multi-agent reinforcement learning (MARL), adaptive traffic signal control (ATSC) has achieved satisfactory results. In traffic scenarios with mul…