Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jing, Jin, Yan, Ding, Fei, Wei, Chongfeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg Games
by: Liu, Xiangyu, et al.
Published: (2026)
by: Liu, Xiangyu, et al.
Published: (2026)
AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning
by: Zhao, Xuyang, et al.
Published: (2025)
by: Zhao, Xuyang, et al.
Published: (2025)
Multi-Agent Intelligence for Multidisciplinary Decision-Making in Gastrointestinal Oncology
by: Zhang, Rongzhao, et al.
Published: (2025)
by: Zhang, Rongzhao, et al.
Published: (2025)
Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning
by: Zhang, Yanfei
Published: (2025)
by: Zhang, Yanfei
Published: (2025)
Simulating Multi-Stakeholder Decision-Making with Generative Agents in Urban Planning
by: Gao, Jin, et al.
Published: (2024)
by: Gao, Jin, et al.
Published: (2024)
Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning
by: McClusky, Ben
Published: (2024)
by: McClusky, Ben
Published: (2024)
Robust Multi-Agent Decision-Making in Finite-Population Games
by: Park, Shinkyu, et al.
Published: (2025)
by: Park, Shinkyu, et al.
Published: (2025)
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, 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)
Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments
by: Wang, Wan, et al.
Published: (2025)
by: Wang, Wan, et al.
Published: (2025)
Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making
by: Eldeeb, Eslam, et al.
Published: (2025)
by: Eldeeb, Eslam, et al.
Published: (2025)
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)
by: Hu, Tianmeng, et al.
Published: (2026)
Self-Evolving Multi-Agent Framework for Efficient Decision Making in Real-Time Strategy Scenarios
by: Ma, Li, et al.
Published: (2026)
by: Ma, Li, et al.
Published: (2026)
YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
by: Zhuang, Yuan, et al.
Published: (2024)
by: Zhuang, Yuan, et al.
Published: (2024)
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
by: Liu, Zichuan, et al.
Published: (2022)
by: Liu, Zichuan, et al.
Published: (2022)
Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
by: Wang, Xuefeng, et al.
Published: (2026)
by: Wang, Xuefeng, et al.
Published: (2026)
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading
by: Lou, Chengwei, et al.
Published: (2025)
by: Lou, Chengwei, et al.
Published: (2025)
rAIson: Developing Reliable Decision-Making Agents
by: Moraitis, Pavlos, et al.
Published: (2026)
by: Moraitis, Pavlos, et al.
Published: (2026)
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)
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination
by: Yao, Chang, et al.
Published: (2025)
by: Yao, Chang, et al.
Published: (2025)
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
by: Liang, Yongheng, et al.
Published: (2024)
by: Liang, Yongheng, et al.
Published: (2024)
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)
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
by: Triantafyllou, Stelios, et al.
Published: (2024)
by: Triantafyllou, Stelios, et al.
Published: (2024)
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
by: Jin, Yue, et al.
Published: (2024)
by: Jin, Yue, et al.
Published: (2024)
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives
by: Jin, Weiqiang, et al.
Published: (2025)
by: Jin, Weiqiang, 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)
DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
by: Zhang, Zhuohui, et al.
Published: (2026)
by: Zhang, Zhuohui, et al.
Published: (2026)
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
by: Hu, Yuanquan, et al.
Published: (2022)
by: Hu, Yuanquan, et al.
Published: (2022)
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
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)
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, et al.
Published: (2024)
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)
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)
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
by: Zhang, Xinren, et al.
Published: (2025)
by: Zhang, Xinren, et al.
Published: (2025)
Multilevel Graph Reinforcement Learning for Consistent Cognitive Decision-making in Heterogeneous Mixed Autonomy
by: Gao, Xin, et al.
Published: (2024)
by: Gao, Xin, et al.
Published: (2024)
Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
by: Zhao, Yujie, et al.
Published: (2025)
by: Zhao, Yujie, et al.
Published: (2025)
ToMacVF : Temporal Macro-action Value Factorization for Asynchronous Multi-Agent Reinforcement Learning
by: Zhang, Wenjing, et al.
Published: (2025)
by: Zhang, Wenjing, et al.
Published: (2025)
Similar Items
-
Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning
by: Chen, Rex, et al.
Published: (2025) -
Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg Games
by: Liu, Xiangyu, et al.
Published: (2026) -
AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning
by: Zhao, Xuyang, et al.
Published: (2025) -
Multi-Agent Intelligence for Multidisciplinary Decision-Making in Gastrointestinal Oncology
by: Zhang, Rongzhao, et al.
Published: (2025) -
Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning
by: Zhang, Yanfei
Published: (2025)