Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Huchen, Dong, Xinghao, Negrut, Dan, Wu, Jin-Long |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
by: Yang, Jiaxi, et al.
Published: (2025)
by: Yang, Jiaxi, et al.
Published: (2025)
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)
by: Chen, Hongjiang, et al.
Published: (2026)
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)
by: Bae, Sangjun, et al.
Published: (2026)
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
by: Li, Shijun, et al.
Published: (2025)
by: Li, Shijun, et al.
Published: (2025)
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
by: Wang, Zhao, et al.
Published: (2025)
by: Wang, Zhao, et al.
Published: (2025)
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)
by: Fung, Ho Long, et al.
Published: (2022)
DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System
by: Leong, Hui Yi, et al.
Published: (2025)
by: Leong, Hui Yi, et al.
Published: (2025)
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
by: Vyaltsev, Valeriy, et al.
Published: (2026)
by: Vyaltsev, Valeriy, et al.
Published: (2026)
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
by: Yang, Kuo, et al.
Published: (2025)
by: Yang, Kuo, et al.
Published: (2025)
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
by: Zhang, Zhicheng, et al.
Published: (2024)
by: Zhang, Zhicheng, et al.
Published: (2024)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
by: Wang, Zhexuan, et al.
Published: (2026)
by: Wang, Zhexuan, et al.
Published: (2026)
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)
by: Hu, Kun, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
by: Hady, Mohamad A., et al.
Published: (2025)
by: Hady, Mohamad A., et al.
Published: (2025)
Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions
by: Long, Weifan, et al.
Published: (2024)
by: Long, Weifan, et al.
Published: (2024)
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)
by: Tang, Shuo, et al.
Published: (2024)
Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems
by: Shefin, Risal Shahriar, et al.
Published: (2026)
by: Shefin, Risal Shahriar, et al.
Published: (2026)
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
by: Liao, Wei-Chen, et al.
Published: (2025)
by: Liao, Wei-Chen, et al.
Published: (2025)
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)
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
by: Andreychuk, Anton, et al.
Published: (2025)
by: Andreychuk, Anton, et al.
Published: (2025)
Agent-Oriented Planning in Multi-Agent Systems
by: Li, Ao, et al.
Published: (2024)
by: Li, Ao, et al.
Published: (2024)
KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization
by: Sun, Qitong, et al.
Published: (2026)
by: Sun, Qitong, et al.
Published: (2026)
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)
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
by: Li, Wenzhe, et al.
Published: (2024)
by: Li, Wenzhe, et al.
Published: (2024)
Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation
by: Yang, Joshua C., et al.
Published: (2026)
by: Yang, Joshua C., et al.
Published: (2026)
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
by: Yang, Shan, et al.
Published: (2026)
by: Yang, Shan, et al.
Published: (2026)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
VariAntNet: Learning Decentralized Control of Multi-Agent Systems
by: Koifman, Yigal, et al.
Published: (2025)
by: Koifman, Yigal, et al.
Published: (2025)
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2022)
by: Chen, Yiqun, et al.
Published: (2022)
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
by: Ye, Hancheng, et al.
Published: (2025)
by: Ye, Hancheng, et al.
Published: (2025)
$\textit{Agents Under Siege}$: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2025)
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2025)
Norm-Governed Multi-Agent Decision-Making in Simulator-Coupled Environments:The Reinsurance Constrained Multi-Agent Simulation Process (R-CMASP)
by: Dong, Stella C.
Published: (2025)
by: Dong, Stella C.
Published: (2025)
Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics
by: Siedler, Philipp Dominic
Published: (2023)
by: Siedler, Philipp Dominic
Published: (2023)
MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
by: Maliha, Maisha, et al.
Published: (2025)
by: Maliha, Maisha, et al.
Published: (2025)
LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning
by: Wei, Yuan, et al.
Published: (2025)
by: Wei, Yuan, et al.
Published: (2025)
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)
by: Dasgupta, Nayana, et al.
Published: (2023)
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)
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022)
by: Yin, Qiyue, et al.
Published: (2022)
Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025)
by: Atasever, Merve, et al.
Published: (2025)
Similar Items
-
Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
by: Yang, Jiaxi, et al.
Published: (2025) -
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026) -
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026) -
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
by: Li, Shijun, et al.
Published: (2025) -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
by: Wang, Zhao, et al.
Published: (2025)