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Deep Reinforcement Learning for Autonomous Traffic Light Control

https://doi.org/10.1109/icite.2018.8492537

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot

Human-level control through deep reinforcement learning

inferredcites →https://doi.org/10.1049/iet-its.2017.0153openalex-snapshot

Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learning

inferredcites →https://doi.org/10.1371/journal.pone.0149607openalex-snapshot

Revisiting Street Intersections Using Slot-Based Systems

inferredcites →https://doi.org/10.1613/jair.2502openalex-snapshot

A Multiagent Approach to Autonomous Intersection Management

inferredcites →https://doi.org/10.4271/2012-01-0292openalex-snapshot

Intersection Management using Vehicular Networks

inferredcites →https://doi.org/10.48550/arxiv.1611.01142openalex-snapshot

Using a Deep Reinforcement Learning Agent for Traffic Signal Control

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Connected Traffic Signal Coordination Optimization Framework through Network-Wide Adaptive Linear Quadratic Regulator–Based Control Strategy

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A Survey on Deep Reinforcement Learning for Traffic Signal Control

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Multi-Agent Reinforcement Learning for Smart City Automated Traffic Light Control

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A Survey on RL-Based Approaches for Traffic Signal and Joint Vehicle-Signal Control

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A Deep Reinforcement Learning Agent for Traffic Intersection Control Optimization

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Optimizing Traffic Flow at Unsignalized Intersections via Centralized Reinforcement Learning for Connected and Autonomous Vehicles

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End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning

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Harnessing Digital Twin Technology for Adaptive Traffic Signal Control: Improving Signalized Intersection Performance and User Satisfaction

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Exploring New Traffic Prediction Models to build an Intelligent Transport System for Smart Cities

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Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge

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A Coordinated Spillback-Aware Traffic Optimization and Recovery at Multiple Intersections

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Experimental Study Regarding an Intelligent Control System for Traffic Light Intersections

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Using Reinforcement Learning With Partial Vehicle Detection for Intelligent Traffic Signal Control

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Robustness Analysis of Discrete State-Based Reinforcement Learning Models in Traffic Signal Control

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CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control

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A Graph Deep Reinforcement Learning Traffic Signal Control for Multiple Intersections Considering Missing Data

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Mixed-Autonomy Traffic Control with Proximal Policy Optimization

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Recent Advances in Reinforcement Learning for Traffic Signal Control

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Deep Reinforcement Learning for Vehicle Intersection Management in High-Dimensional Action Spaces

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Traffic Behavior Recognition from Traffic Videos under Occlusion Condition: A Kalman Filter Approach

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Deep Reinforcement Learning Technique for Traffic Metering in Connected Urban Street Networks

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Implementation of Bootstrap Technique in Detection of Road Sign using Machine Learning

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Аналіз методів формування планів координації світлофорних об’єктів

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