Cover Image

MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Sunbowen, Lyu, Hongqin, Gong, Yicheng, Sun, Yingying, Deng, Chao
Format:	Preprint
Published:	2024
Subjects:	Multiagent Systems Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)

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

Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)

PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)

Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
by: Wang, Kang, et al.
Published: (2024)

Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
by: Li, Yihong, et al.
Published: (2025)

CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
by: Zeng, Jinwei, et al.
Published: (2024)

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

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control
by: Ruan, Jingqing, et al.
Published: (2024)

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)

Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control
by: Gu, Hankang, et al.
Published: (2025)

A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
by: Rezaali, Arash, et al.
Published: (2025)

Smart Traffic Signals: Comparing MARL and Fixed-Time Strategies
by: Mahato, Saahil
Published: (2025)

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)

Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
by: Lichtlé, Nathan, et al.
Published: (2024)

Multi-Agent Coordination across Diverse Applications: A Survey
by: Sun, Lijun, et al.
Published: (2025)

Impact of Collective Behaviors of Autonomous Vehicles on Urban Traffic Dynamics: A Multi-Agent Reinforcement Learning Approach
by: Akman, Ahmet Onur, et al.
Published: (2025)

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate
by: Sun, Yiliu, et al.
Published: (2025)

Multi-Agent Continuous Control with Generative Flow Networks
by: Luo, Shuang, et al.
Published: (2024)

TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles
by: Qiao, Guanren, et al.
Published: (2024)

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
by: Chen, Zhe, et al.
Published: (2023)

Multi-agent Path Finding for Mixed Autonomy Traffic Coordination
by: Zheng, Han, et al.
Published: (2024)

A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation
by: Lv, Yang, et al.
Published: (2024)

Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency
by: Veksler, Yaron, et al.
Published: (2024)

Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
by: Song, Xiaofei, et al.
Published: (2026)

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making
by: Jan, Salman, et al.
Published: (2026)

Convergence of Multiagent Learning Systems for Traffic control
by: Sen, Sayambhu, et al.
Published: (2025)

MultiHedge: Adaptive Coordination via Retrieval-Augmented Control
by: Bańka, Feliks, et al.
Published: (2026)

SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
by: Wan, Xu, et al.
Published: (2025)

Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
by: Zheng, Xuejing, et al.
Published: (2024)

LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer
by: Zahedifar, Rasoul, et al.
Published: (2025)

SIGMAS: Second-Order Interaction-based Grouping for Overlapping Multi-Agent Swarms
by: Lee, Minah, et al.
Published: (2026)

Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control
by: Carvell, Ben, et al.
Published: (2026)

Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
by: Sun, Chuxiong, et al.
Published: (2024)

XAgents: A Framework for Interpretable Rule-Based Multi-Agents Cooperation
by: Yang, Hailong, et al.
Published: (2024)

Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning
by: Li, Dapeng, et al.
Published: (2024)