Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Jiaqi, Yuan, Tianjun, Lin, Tao, Luo, Bing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems
by: Gupta, Prateek, et al.
Published: (2025)
by: Gupta, Prateek, et al.
Published: (2025)
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents
by: Qi, Junjie, et al.
Published: (2025)
by: Qi, Junjie, et al.
Published: (2025)
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning
by: Li, Yugu, et al.
Published: (2025)
by: Li, Yugu, et al.
Published: (2025)
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
by: Lou, Xingzhou, et al.
Published: (2023)
by: Lou, Xingzhou, et al.
Published: (2023)
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
by: Yuan, Zike, et al.
Published: (2025)
by: Yuan, Zike, et al.
Published: (2025)
Multi-Agent Continuous Control with Generative Flow Networks
by: Luo, Shuang, et al.
Published: (2024)
by: Luo, Shuang, et al.
Published: (2024)
XAgents: A Framework for Interpretable Rule-Based Multi-Agents Cooperation
by: Yang, Hailong, et al.
Published: (2024)
by: Yang, Hailong, et al.
Published: (2024)
Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
by: Lin, Fulin, et al.
Published: (2025)
by: Lin, Fulin, et al.
Published: (2025)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
by: Liu, Qi, et al.
Published: (2024)
by: Liu, Qi, et al.
Published: (2024)
Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
by: Elrod, Michael, et al.
Published: (2025)
by: Elrod, Michael, et al.
Published: (2025)
Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
by: Oh, Dahyun, et al.
Published: (2026)
by: Oh, Dahyun, et al.
Published: (2026)
Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation
by: Pitliya, Riddhi J., et al.
Published: (2025)
by: Pitliya, Riddhi J., et al.
Published: (2025)
COOP$^2$: Defining, Observing, and Repairing Cooperation in LLM Multi-Agent Systems
by: Yang, Hanqing, et al.
Published: (2026)
by: Yang, Hanqing, et al.
Published: (2026)
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
by: Hua, Yun, et al.
Published: (2025)
by: Hua, Yun, et al.
Published: (2025)
Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization
by: Qu, Chengrui, et al.
Published: (2026)
by: Qu, Chengrui, et al.
Published: (2026)
Inverse Attention Agents for Multi-Agent Systems
by: Long, Qian, et al.
Published: (2024)
by: Long, Qian, et al.
Published: (2024)
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)
The Bystander Effect in Multi-Agent Reasoning: Quantifying Cognitive Loafing in Collaborative Interactions
by: Shehata, Dahlia, et al.
Published: (2026)
by: Shehata, Dahlia, et al.
Published: (2026)
CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System
by: Wu, Yefeng, et al.
Published: (2025)
by: Wu, Yefeng, et al.
Published: (2025)
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2024)
by: Ma, Hao, 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)
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
by: Yang, Qin
Published: (2024)
by: Yang, Qin
Published: (2024)
Cultural Evolution of Cooperation among LLM Agents
by: Vallinder, Aron, et al.
Published: (2024)
by: Vallinder, Aron, et al.
Published: (2024)
Auditing Cascading Risks in Multi-Agent Systems via Semantic-Geometric Co-evolution
by: Luo, Zixun, et al.
Published: (2026)
by: Luo, Zixun, et al.
Published: (2026)
MonoScale: Scaling Multi-Agent System with Monotonic Improvement
by: Shao, Shuai, et al.
Published: (2026)
by: Shao, Shuai, et al.
Published: (2026)
Agentic Discovery: Closing the Loop with Cooperative Agents
by: Pauloski, J. Gregory, et al.
Published: (2025)
by: Pauloski, J. Gregory, et al.
Published: (2025)
Memory Intelligence Agent
by: Qiao, Jingyang, et al.
Published: (2026)
by: Qiao, Jingyang, et al.
Published: (2026)
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhiwei, et al.
Published: (2024)
by: Xu, Zhiwei, et al.
Published: (2024)
Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems
by: Venkatesh, Kavana, et al.
Published: (2026)
by: Venkatesh, Kavana, et al.
Published: (2026)
Communication Gain and Delay Cost Under Cross-Timestep Delays in Cooperative Multi-Agent Reinforcement Learning
by: Gao, Zihong, et al.
Published: (2026)
by: Gao, Zihong, et al.
Published: (2026)
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems
by: Wang, Haochun, et al.
Published: (2025)
by: Wang, Haochun, et al.
Published: (2025)
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)
by: Feng, Pu, et al.
Published: (2024)
S-Agents: Self-organizing Agents in Open-ended Environments
by: Chen, Jiaqi, et al.
Published: (2024)
by: Chen, Jiaqi, et al.
Published: (2024)
MTTR-A: Measuring Cognitive Recovery Latency in Multi-Agent Systems
by: Or, Barak
Published: (2025)
by: Or, Barak
Published: (2025)
Achieving Equilibrium under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
by: Li, Zhuhui, et al.
Published: (2025)
by: Li, Zhuhui, et al.
Published: (2025)
Interpreting Emergent Extreme Events in Multi-Agent Systems
by: Tang, Ling, et al.
Published: (2026)
by: Tang, Ling, et al.
Published: (2026)
AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
by: Luo, Yinyi, et al.
Published: (2026)
by: Luo, Yinyi, et al.
Published: (2026)
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Similar Items
-
The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems
by: Gupta, Prateek, et al.
Published: (2025) -
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
by: Li, Yang, et al.
Published: (2024) -
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents
by: Qi, Junjie, et al.
Published: (2025) -
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning
by: Li, Yugu, et al.
Published: (2025) -
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
by: Lou, Xingzhou, et al.
Published: (2023)