Imagen de Portada

DataLight: Offline Data-Driven Traffic Signal Control

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Liang, Zhang, Yutong, Deng, Jianming, Li, Chen
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DynamicLight: Two-Stage Dynamic Traffic Signal Timing
por: Zhang, Liang, et al.
Publicado: (2022)

Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
por: Zhang, Liang, et al.
Publicado: (2021)

FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control
por: Ye, Yutong, et al.
Publicado: (2025)

OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
por: Bokade, Rohit, et al.
Publicado: (2024)

ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
por: Wang, Maonan, et al.
Publicado: (2022)

SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control
por: Liao, Xiao-Cheng, et al.
Publicado: (2025)

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
por: Chen, Hanyang, et al.
Publicado: (2024)

MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
por: Lee, Sunbowen, et al.
Publicado: (2024)

Automatic Reward Shaping from Confounded Offline Data
por: Li, Mingxuan, et al.
Publicado: (2025)

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
por: Liao, Xiao-Cheng, et al.
Publicado: (2025)

TransferLight: Zero-Shot Traffic Signal Control on any Road-Network
por: Schmidt, Johann, et al.
Publicado: (2024)

Functional Graphical Models: Structure Enables Offline Data-Driven Optimization
por: Kuba, Jakub Grudzien, et al.
Publicado: (2024)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
por: Jia, Chengxing, et al.
Publicado: (2024)

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
por: Yang, Rui, et al.
Publicado: (2023)

Are Expressive Models Truly Necessary for Offline RL?
por: Wang, Guan, et al.
Publicado: (2024)

A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control
por: Guo, Qing, et al.
Publicado: (2025)

Uncertainty-aware Traffic Prediction under Missing Data
por: Mei, Hao, et al.
Publicado: (2023)

Offline Behavioral Data Selection
por: Lei, Shiye, et al.
Publicado: (2025)

FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
por: Qiao, Nan, et al.
Publicado: (2025)

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
por: Jiang, Haoyuan, et al.
Publicado: (2024)

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy
por: Liao, Xiao-Cheng, et al.
Publicado: (2025)

An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
por: Yun, Taeyoung, et al.
Publicado: (2024)

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
por: Wen, Xiaoyu, et al.
Publicado: (2024)

Planning Under Observation Mismatch for Traffic Signal Control via Adaptive Modular World Models
por: Huang, Zherui, et al.
Publicado: (2025)

Augmenting Offline RL with Unlabeled Data
por: Wang, Zhao, et al.
Publicado: (2024)

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
por: Fang, Yuchen, et al.
Publicado: (2024)

Single-agent Reinforcement Learning Model for Regional Adaptive Traffic Signal Control
por: Li, Qiang, et al.
Publicado: (2025)

Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data
por: Jia, Zeyu, et al.
Publicado: (2024)

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
por: Zhang, Hanping, et al.
Publicado: (2025)

Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Data
por: van Remmerden, Jesse, et al.
Publicado: (2025)

CoScale-RL: Efficient Post-Training by Co-Scaling Data and Computation
por: Chen, Yutong, et al.
Publicado: (2026)

A Joint Topology-Data Fusion Graph Network for Robust Traffic Speed Prediction with Data Anomalism
por: Jiang, Ruiyuan, et al.
Publicado: (2025)

SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
por: Zhang, Liyu, et al.
Publicado: (2024)

Robust Single-Agent Reinforcement Learning for Regional Traffic Signal Control Under Demand Fluctuations
por: Li, Qiang, et al.
Publicado: (2025)

MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning
por: Li, Xuchen, et al.
Publicado: (2026)

Leveraging Offline Data in Linear Latent Contextual Bandits
por: Kausik, Chinmaya, et al.
Publicado: (2024)

Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
por: Hu, Yifan, et al.
Publicado: (2024)

Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
por: Zhu, Ming, et al.
Publicado: (2023)

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control
por: Zhang, Yifeng, et al.
Publicado: (2025)

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
por: Niu, Haoyi, et al.
Publicado: (2022)