HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Chiqiang, Li, Dazi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination
by: Zhao, Delin, et al.
Published: (2025)
by: Zhao, Delin, et al.
Published: (2025)
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, 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)
An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
by: Yu, Jiaming, et al.
Published: (2025)
by: Yu, Jiaming, et al.
Published: (2025)
Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning
by: McClusky, Ben
Published: (2024)
by: McClusky, Ben
Published: (2024)
Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
by: Gardiner, John, et al.
Published: (2026)
by: Gardiner, John, et al.
Published: (2026)
Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game
by: Guo, Honglei, et al.
Published: (2026)
by: Guo, Honglei, et al.
Published: (2026)
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)
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-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2024)
by: Wang, Shengbo, et al.
Published: (2024)
Dynamic Agent Grouping ECBS: Scaling Windowed Multi-Agent Path Finding with Completeness Guarantees
by: Zhang, Tiannan, et al.
Published: (2025)
by: Zhang, Tiannan, et al.
Published: (2025)
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024)
by: Toquebiau, Maxime, et al.
Published: (2024)
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, et al.
Published: (2024)
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
by: Zhang, Heng, et al.
Published: (2025)
by: Zhang, Heng, et al.
Published: (2025)
JointPPO: Diving Deeper into the Effectiveness of PPO in Multi-Agent Reinforcement Learning
by: Liu, Chenxing, et al.
Published: (2024)
by: Liu, Chenxing, et al.
Published: (2024)
Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)
by: Aina, Kehinde O., et al.
Published: (2025)
Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
by: Xu, Yanggang, et al.
Published: (2025)
by: Xu, Yanggang, et al.
Published: (2025)
Hypergraph-based Coordinated Task Allocation and Socially-aware Navigation for Multi-Robot Systems
by: Wang, Weizheng, et al.
Published: (2024)
by: Wang, Weizheng, et al.
Published: (2024)
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning
by: Hu, Xiaoliang, et al.
Published: (2023)
by: Hu, Xiaoliang, et al.
Published: (2023)
Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations
by: Orlando, Gian Marco, et al.
Published: (2025)
by: Orlando, Gian Marco, et al.
Published: (2025)
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
by: Zhang, Xinren, et al.
Published: (2025)
by: Zhang, Xinren, et al.
Published: (2025)
GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
by: Shi, Zifeng, et al.
Published: (2025)
by: Shi, Zifeng, et al.
Published: (2025)
Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
by: Ren, Tianyu, et al.
Published: (2025)
by: Ren, Tianyu, et al.
Published: (2025)
Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning
by: Dai, Pengcheng, et al.
Published: (2025)
by: Dai, Pengcheng, et al.
Published: (2025)
Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains
by: Kotecha, Niki, et al.
Published: (2024)
by: Kotecha, Niki, et al.
Published: (2024)
Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)
by: Cardei, Maria Ana, et al.
Published: (2026)
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
by: Liang, Yongheng, et al.
Published: (2024)
by: Liang, Yongheng, et al.
Published: (2024)
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
by: Hu, Zican, et al.
Published: (2023)
by: Hu, Zican, et al.
Published: (2023)
Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game
by: Jian, HuaDong, et al.
Published: (2026)
by: Jian, HuaDong, et al.
Published: (2026)
AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
by: Zhong, Shanshan, et al.
Published: (2026)
by: Zhong, Shanshan, et al.
Published: (2026)
MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning
by: Li, Zichong, et al.
Published: (2024)
by: Li, Zichong, et al.
Published: (2024)
Learning to Coordinate Under Threshold Rewards: A Cooperative Multi-Agent Bandit Framework
by: Ledford, Michael, et al.
Published: (2025)
by: Ledford, Michael, et al.
Published: (2025)
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning
by: Li, Dapeng, et al.
Published: (2024)
by: Li, Dapeng, et al.
Published: (2024)
Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
by: Wang, Xuefeng, et al.
Published: (2026)
by: Wang, Xuefeng, et al.
Published: (2026)
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)
by: Yu, Xin, et al.
Published: (2023)
Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning
by: Lee, Min Whoo, et al.
Published: (2025)
by: Lee, Min Whoo, et al.
Published: (2025)
Similar Items
-
SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination
by: Zhao, Delin, et al.
Published: (2025) -
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, 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) -
An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
by: Rudd-Jones, James, et al.
Published: (2025) -
Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
by: Yu, Jiaming, et al.
Published: (2025)