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RL for Traffic Optimization
【Review 14】IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
Decentralized Reinforcement Learning Traffic Signal Control
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control
James Ault - MARL for multi-intersection signal control
A Comparison of Reinforcement Learning Agents Applied to Traffic Signal Optimization
Smart Intersections Could End City Traffic Jams
Reinforcement Learning based Traffic Signal Control Validated in Real-Time Real World Traffic
Toyota CRDL: Cooperative Control of Large Scale Traffic Signals
COMP 767 Reinforcement Learning Project -- RL Control in Special Transportation Scenarios.
5 Adaptive Traffic Signal Management
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Last Updated: October 2, 2026
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Summary
Connected and automated vehicles (CAVs) have shown the potential to improve safety, increase throughput, and Here is a quick showcase demonstrating the power of Machine Learning for New to the channel? Start here: youtube.com/playlist?list=PLqs5ohhass_STBfubAdle9dsyWrqu6G6r Special Thanks ... Tijs van Bakel tijs.van.bakel James Ault jault RESCO ... Reference: Devailly F X, Larocque D, Charlin L. IG- We implemented distributed Q-Learning based We report on a method for globally controlling McGill COMP 767 Reinforcement Learning Project, with instructor Prof. Doina Precup. We are students Dingyi Zhuang and ...
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