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cs.LG2025
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
Songyang Liu, Muyang Fan, Weizi Li +2
Traffic congestion remains a significant challenge in modern urban networks. Autonomous driving technologies have emerged as a potential solution. Among traffic control methods, re…
cs.LG2025
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
Bibek Poudel, Xuan Wang, Weizi Li +2
Reinforcement learning (RL) holds significant promise for adaptive traffic signal control. While existing RL-based methods demonstrate effectiveness in reducing vehicular congestio…
cs.LG2024
Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks
Iftekharul Islam, Weizi Li
Managing mixed traffic comprising human-driven and robot vehicles (RVs) across large-scale networks presents unique challenges beyond single-intersection control. This paper propos…