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Developments
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Deep Reinforcement Learning Traffic Signal Control Simulation
RLFTSim - Realistic and Controllable Multi-Agent Traffic Simulation via RL Fine-Tuning - CVPR 2026
Inotek(2022)-Deep Reinforcement Learning for smart traffic junctions timing and signaling
Hitting the gym: controlling traffic with Reinforcement Learning - Steven Nooijen
AI4UM-21: A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
Deep Reinforcement Learning on Intelligent Traffic System
Teaching Machines to Direct Traffic through Deep Reinforcement Learning
Control of Mixed-Autonomy Traffic via Deep-RL
Decentralized Reinforcement Learning Traffic Signal Control
1 intersection changing traffic Deep RL SUMO
COMP 767 Reinforcement Learning Project -- RL Control in Special Transportation Scenarios.
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Last Updated: August 16, 2026
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![Information [CVPR 2021] TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors News](https://i.ytimg.com/vi/n6C788TmBDY/mqdefault.jpg)
