Adaptive Traffic Signal Control for large-scale scenario with Cooperative Group-based Multi-agent reinforcement learning

Deep reinforcement learning enabled self-learning control for energy efficient driving

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A Deep Reinforcement Learning Network for Traffic Light Cycle Control

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A Multi-Objective Agent-Based Control Approach With Application in Intelligent Traffic Signal System

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Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

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Human-level control through deep reinforcement learning

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Adaptive Traffic Signal Control With Vehicular Ad hoc Networks

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Max pressure control of a network of signalized intersections

(2013) Pravin Varaiya   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Google-like model of road network dynamics and its application to regulation and control

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Analysis of the information storage capability of VANET for highway and city traffic

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Reinforcement learning of motor skills with policy gradients

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