Multi-agent Reinforcement Traffic Signal Control based on Interpretable Influence Mechanism and Biased ReLU Approximation
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Zhiyue, Xu, Jun, Chen, Fanglin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DHLight: Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control
by: Lei, Zhen, et al.
Published: (2024)
by: Lei, Zhen, et al.
Published: (2024)
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
by: Wang, Kang, et al.
Published: (2024)
by: Wang, Kang, et al.
Published: (2024)
VissimRL: A Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Based on Vissim
by: Chang, Hsiao-Chuan, et al.
Published: (2026)
by: Chang, Hsiao-Chuan, et al.
Published: (2026)
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)
Adaptive Traffic Signal Control based on Multi-Agent Reinforcement Learning. Case Study on a simulated real-world corridor
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2025)
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2025)
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)
by: Zhang, Yuli, et al.
Published: (2025)
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
by: Zhou, Wei, et al.
Published: (2021)
by: Zhou, Wei, et al.
Published: (2021)
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
by: Liu, Songyang, et al.
Published: (2025)
by: Liu, Songyang, et al.
Published: (2025)
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
by: Satheesh, Anirudh, et al.
Published: (2025)
by: Satheesh, Anirudh, et al.
Published: (2025)
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
by: Li, Yihong, et al.
Published: (2025)
by: Li, Yihong, et al.
Published: (2025)
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)
by: Bokade, Rohit, et al.
Published: (2024)
Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning
by: Chen, Rex, et al.
Published: (2025)
by: Chen, Rex, et al.
Published: (2025)
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
by: Wan, Lipeng, et al.
Published: (2021)
by: Wan, Lipeng, et al.
Published: (2021)
Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
by: Luo, Zhenglong, et al.
Published: (2024)
by: Luo, Zhenglong, et al.
Published: (2024)
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)
by: Bokade, Rohit, 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)
by: Gu, Hankang, et al.
Published: (2025)
Context-aware Communication for Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2023)
by: Li, Xinran, et al.
Published: (2023)
Analyzing Collision Rates in Large-Scale Mixed Traffic Control via Multi-Agent Reinforcement Learning
by: Fan, Muyang
Published: (2025)
by: Fan, Muyang
Published: (2025)
MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
by: Yu, Haohan, et al.
Published: (2026)
by: Yu, Haohan, et al.
Published: (2026)
Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)
by: Park, Yisak, et al.
Published: (2025)
Hypergame-based Cognition Modeling and Intention Interpretation for Human-Driven Vehicles in Connected Mixed Traffic
by: Chen, Jianguo, et al.
Published: (2025)
by: Chen, Jianguo, et al.
Published: (2025)
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems
by: Chen, Hanxiao
Published: (2024)
by: Chen, Hanxiao
Published: (2024)
Multi-Objective Reinforcement Learning for Large-Scale Mixed Traffic Control
by: Islam, Iftekharul, et al.
Published: (2025)
by: Islam, Iftekharul, et al.
Published: (2025)
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)
by: Duan, Wenchang, et al.
Published: (2024)
GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control
by: Suriyarachchi, Nilesh, et al.
Published: (2024)
by: Suriyarachchi, Nilesh, et al.
Published: (2024)
Multi-agent Uncertainty-Aware Pessimistic Model-Based Reinforcement Learning for Connected Autonomous Vehicles
by: Wen, Ruoqi, et al.
Published: (2025)
by: Wen, Ruoqi, et al.
Published: (2025)
Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection
by: Cui, Yue, et al.
Published: (2025)
by: Cui, Yue, et al.
Published: (2025)
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
by: Peng, Xianyue, et al.
Published: (2023)
by: Peng, Xianyue, et al.
Published: (2023)
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
by: Li, Huao, et al.
Published: (2024)
by: Li, Huao, et al.
Published: (2024)
A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
by: Rezaali, Arash, et al.
Published: (2025)
by: Rezaali, Arash, et al.
Published: (2025)
Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
by: Goeckner, Anthony, et al.
Published: (2024)
by: Goeckner, Anthony, et al.
Published: (2024)
Multi-agent Reinforcement Learning-based Joint Design of Low-Carbon P2P Market and Bidding Strategy in Microgrids
by: Ren, Junhao, et al.
Published: (2026)
by: Ren, Junhao, et al.
Published: (2026)
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2024)
by: Lee, Dongsu, et al.
Published: (2024)
VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
by: Wang, Maonan, et al.
Published: (2025)
by: Wang, Maonan, et al.
Published: (2025)
Heterogeneous Mixed Traffic Control and Coordination
by: Islam, Iftekharul, et al.
Published: (2024)
by: Islam, Iftekharul, et al.
Published: (2024)
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024)
by: Xu, Mengfan, et al.
Published: (2024)
Multi-agent Path Finding for Mixed Autonomy Traffic Coordination
by: Zheng, Han, et al.
Published: (2024)
by: Zheng, Han, et al.
Published: (2024)
MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
by: Lee, Sunbowen, et al.
Published: (2024)
by: Lee, Sunbowen, et al.
Published: (2024)
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)
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)
by: Gu, Hankang, et al.
Published: (2025)
Similar Items
-
DHLight: Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control
by: Lei, Zhen, et al.
Published: (2024) -
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
by: Wang, Kang, et al.
Published: (2024) -
VissimRL: A Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Based on Vissim
by: Chang, Hsiao-Chuan, et al.
Published: (2026) -
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024) -
Adaptive Traffic Signal Control based on Multi-Agent Reinforcement Learning. Case Study on a simulated real-world corridor
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2025)