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Traffic Signal Control
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Control traffic lights/signals to optimize traffic.
<span style="color:grey; opacity: 0.6">( Image credit: Flaticon )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning
Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
Modeling Network-level Traffic Flow Transitions on Sparse Data
Model-based graph reinforcement learning for inductive traffic signal control
Scalable Model-based Policy Optimization for Decentralized Networked Systems
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control
Cooperative Reinforcement Learning on Traffic Signal Control
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
DynLight: Realize dynamic phase duration with multi-level traffic signal control
Random Ensemble Reinforcement Learning for Traffic Signal Control
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Testing Stationarity and Change Point Detection in Reinforcement Learning
Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach
Intelligent Autonomous Intersection Management
Distributed Stochastic Model Predictive Control for an Urban Traffic Network
Offline Reinforcement Learning for Road Traffic Control
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Efficient Pressure: Improving efficiency for signalized intersections
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement Learning
Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection
Intelligent Traffic Control System by Using Image Information
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control
A Comparative Study of Algorithms for Intelligent Traffic Signal Control
DQN Control Solution for KDD Cup 2021 City Brain Challenge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.