Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?
Fuente:
arXiv
Saved in:
| Main Authors: | Bause, Franka, Niederle, Jonas, Pawelczyk, Martin, Burkholz, Rebekka |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks
by: Abedini, Samira, et al.
Published: (2026)
by: Abedini, Samira, et al.
Published: (2026)
OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models
by: Li, Shiyuan, et al.
Published: (2026)
by: Li, Shiyuan, et al.
Published: (2026)
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
by: Jiang, Wenzhao, et al.
Published: (2026)
by: Jiang, Wenzhao, et al.
Published: (2026)
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
by: Jiang, Wenzhao, et al.
Published: (2024)
by: Jiang, Wenzhao, et al.
Published: (2024)
Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
by: Jayawardana, Vindula, et al.
Published: (2025)
by: Jayawardana, Vindula, et al.
Published: (2025)
YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts
by: Wang, Zesen, et al.
Published: (2026)
by: Wang, Zesen, et al.
Published: (2026)
PokéChamp: an Expert-level Minimax Language Agent
by: Karten, Seth, et al.
Published: (2025)
by: Karten, Seth, et al.
Published: (2025)
LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
by: Duan, Tianyang, et al.
Published: (2025)
by: Duan, Tianyang, et al.
Published: (2025)
Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks
by: Qiu, Wen, et al.
Published: (2026)
by: Qiu, Wen, et al.
Published: (2026)
Conformal Off-Policy Prediction for Multi-Agent Systems
by: Kuipers, Tom, et al.
Published: (2024)
by: Kuipers, Tom, et al.
Published: (2024)
Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems
by: Pathak, Anshul, et al.
Published: (2026)
by: Pathak, Anshul, et al.
Published: (2026)
Graph Attention Inference of Network Topology in Multi-Agent Systems
by: Kolli, Akshay, et al.
Published: (2024)
by: Kolli, Akshay, et al.
Published: (2024)
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
by: Jin, Ruiyang, et al.
Published: (2024)
by: Jin, Ruiyang, et al.
Published: (2024)
MasRouter: Learning to Route LLMs for Multi-Agent Systems
by: Yue, Yanwei, et al.
Published: (2025)
by: Yue, Yanwei, et al.
Published: (2025)
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective
by: Hu, Shengchao, et al.
Published: (2024)
by: Hu, Shengchao, et al.
Published: (2024)
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)
by: Castagna, Alberto
Published: (2025)
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas
by: Chacon-Chamorro, Manuela, et al.
Published: (2026)
by: Chacon-Chamorro, Manuela, et al.
Published: (2026)
Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
by: Chen, Gang, et al.
Published: (2025)
by: Chen, Gang, et al.
Published: (2025)
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
by: Omari, Bassel Al, et al.
Published: (2025)
by: Omari, Bassel Al, et al.
Published: (2025)
Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network
by: Hasan, Md Nahid, et al.
Published: (2026)
by: Hasan, Md Nahid, et al.
Published: (2026)
Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces
by: Karten, Seth, et al.
Published: (2026)
by: Karten, Seth, et al.
Published: (2026)
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
by: Grötschla, Florian, et al.
Published: (2025)
by: Grötschla, Florian, et al.
Published: (2025)
Multi-Agent Coordination via Multi-Level Communication
by: Ding, Ziluo, et al.
Published: (2022)
by: Ding, Ziluo, et al.
Published: (2022)
Agent-Oriented Planning in Multi-Agent Systems
by: Li, Ao, et al.
Published: (2024)
by: Li, Ao, et al.
Published: (2024)
Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
by: Wang, Angel, et al.
Published: (2026)
by: Wang, Angel, et al.
Published: (2026)
The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
by: Tang, Luoxi, et al.
Published: (2026)
by: Tang, Luoxi, et al.
Published: (2026)
Optimistic Multi-Agent Policy Gradient
by: Zhao, Wenshuai, et al.
Published: (2023)
by: Zhao, Wenshuai, et al.
Published: (2023)
Quality or Quantity? Error-Informed Selective Online Learning with Gaussian Processes in Multi-Agent Systems: Extended Version
by: Yang, Zewen, et al.
Published: (2026)
by: Yang, Zewen, et al.
Published: (2026)
From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
by: Wang, Xun, et al.
Published: (2025)
by: Wang, Xun, et al.
Published: (2025)
Multi-Agent Environments for Vehicle Routing Problems
by: Gama, Ricardo, et al.
Published: (2024)
by: Gama, Ricardo, et al.
Published: (2024)
Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments
by: Baddam, Vasanth Reddy, et al.
Published: (2024)
by: Baddam, Vasanth Reddy, et al.
Published: (2024)
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
by: Hazra, Somnath, et al.
Published: (2025)
by: Hazra, Somnath, et al.
Published: (2025)
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)
by: Hoppe, Heiko, et al.
Published: (2023)
Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows
by: Yu, Tao, et al.
Published: (2026)
by: Yu, Tao, et al.
Published: (2026)
Generalized Intention Modeling in Multi-Agent Reinforcement Learning
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
MARBLE: Multi-Agent Reasoning for Bioinformatics Learning and Evolution
by: Kim, Sunghyun, et al.
Published: (2026)
by: Kim, Sunghyun, et al.
Published: (2026)
Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
by: Cho, Minwoo, et al.
Published: (2026)
by: Cho, Minwoo, et al.
Published: (2026)
Cooperative Multi-Agent Constrained Stochastic Linear Bandits
by: Afsharrad, Amirhossein, et al.
Published: (2024)
by: Afsharrad, Amirhossein, et al.
Published: (2024)
Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)
by: Park, Yisak, et al.
Published: (2025)
Similar Items
-
Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks
by: Abedini, Samira, et al.
Published: (2026) -
OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models
by: Li, Shiyuan, et al.
Published: (2026) -
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
by: Jiang, Wenzhao, et al.
Published: (2026) -
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
by: Jiang, Wenzhao, et al.
Published: (2024) -
Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
by: Jayawardana, Vindula, et al.
Published: (2025)