Beyond Scaling: Agents Are Heading to the Edge
Fuente:
arXiv
Guardado en:
| Autores principales: | Tian, Chunlin, Cai, Dongqi, Zhao, Wanru, Lane, Nicholas D. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
por: Liu, Zichuan, et al.
Publicado: (2022)
por: Liu, Zichuan, et al.
Publicado: (2022)
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems
por: Tastan, Nurbek, et al.
Publicado: (2026)
por: Tastan, Nurbek, et al.
Publicado: (2026)
Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows
por: Yu, Tao, et al.
Publicado: (2026)
por: Yu, Tao, et al.
Publicado: (2026)
Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
por: Wu, Xuefei, et al.
Publicado: (2025)
por: Wu, Xuefei, et al.
Publicado: (2025)
Beyond Curve Fitting: Neuro-Symbolic Agents for Context-Aware Epidemic Forecasting
por: Chae, Joongwon, et al.
Publicado: (2025)
por: Chae, Joongwon, et al.
Publicado: (2025)
Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
por: Wang, Hong, et al.
Publicado: (2026)
por: Wang, Hong, et al.
Publicado: (2026)
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
por: Zhang, Yuhang, et al.
Publicado: (2023)
por: Zhang, Yuhang, et al.
Publicado: (2023)
Optimistic Multi-Agent Policy Gradient
por: Zhao, Wenshuai, et al.
Publicado: (2023)
por: Zhao, Wenshuai, et al.
Publicado: (2023)
MobiAgent: A Systematic Framework for Customizable Mobile Agents
por: Zhang, Cheng, et al.
Publicado: (2025)
por: Zhang, Cheng, et al.
Publicado: (2025)
Beyond Task Performance: A Metric-Based Analysis of Sequential Cooperation in Heterogeneous Multi-Agent Destructive Foraging
por: Barrionuevo, Alejandro Mendoza, et al.
Publicado: (2026)
por: Barrionuevo, Alejandro Mendoza, et al.
Publicado: (2026)
EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks
por: Ray, Abir
Publicado: (2025)
por: Ray, Abir
Publicado: (2025)
Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
por: Wang, Angel, et al.
Publicado: (2026)
por: Wang, Angel, et al.
Publicado: (2026)
Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
por: Zhao, Yujie, et al.
Publicado: (2025)
por: Zhao, Yujie, et al.
Publicado: (2025)
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
por: Zhang, Qixin, et al.
Publicado: (2025)
por: Zhang, Qixin, et al.
Publicado: (2025)
Double Distillation Network for Multi-Agent Reinforcement Learning
por: Zhou, Yang, et al.
Publicado: (2025)
por: Zhou, Yang, et al.
Publicado: (2025)
Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits
por: Zhuang, Yi, et al.
Publicado: (2026)
por: Zhuang, Yi, et al.
Publicado: (2026)
Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
por: Liu, Lin, et al.
Publicado: (2024)
por: Liu, Lin, et al.
Publicado: (2024)
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
por: Xie, Yi, et al.
Publicado: (2026)
por: Xie, Yi, et al.
Publicado: (2026)
Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
por: Zhang, Ruoning, et al.
Publicado: (2025)
por: Zhang, Ruoning, et al.
Publicado: (2025)
Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces
por: Karten, Seth, et al.
Publicado: (2026)
por: Karten, Seth, et al.
Publicado: (2026)
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
por: Grötschla, Florian, et al.
Publicado: (2025)
por: Grötschla, Florian, et al.
Publicado: (2025)
Get Experience from Practice: LLM Agents with Record & Replay
por: Feng, Erhu, et al.
Publicado: (2025)
por: Feng, Erhu, et al.
Publicado: (2025)
PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling
por: Venkatesh, Kavana, et al.
Publicado: (2026)
por: Venkatesh, Kavana, et al.
Publicado: (2026)
From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
por: Wang, Xun, et al.
Publicado: (2025)
por: Wang, Xun, et al.
Publicado: (2025)
A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyond
por: Qu, Xiaodong, et al.
Publicado: (2025)
por: Qu, Xiaodong, et al.
Publicado: (2025)
Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems
por: Pathak, Anshul, et al.
Publicado: (2026)
por: Pathak, Anshul, et al.
Publicado: (2026)
Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments
por: Baddam, Vasanth Reddy, et al.
Publicado: (2024)
por: Baddam, Vasanth Reddy, et al.
Publicado: (2024)
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
por: Omari, Bassel Al, et al.
Publicado: (2025)
por: Omari, Bassel Al, et al.
Publicado: (2025)
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
por: Hazra, Somnath, et al.
Publicado: (2025)
por: Hazra, Somnath, et al.
Publicado: (2025)
Can AI Agents Agree?
por: Berdoz, Frédéric, et al.
Publicado: (2026)
por: Berdoz, Frédéric, et al.
Publicado: (2026)
Conformal Agent Error Attribution
por: Feng, Naihe, et al.
Publicado: (2026)
por: Feng, Naihe, et al.
Publicado: (2026)
Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making
por: Vineis, Vittoria, et al.
Publicado: (2025)
por: Vineis, Vittoria, et al.
Publicado: (2025)
Learning Graph Representation of Agent Diffusers
por: Djenouri, Youcef, et al.
Publicado: (2025)
por: Djenouri, Youcef, et al.
Publicado: (2025)
LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
por: Duan, Tianyang, et al.
Publicado: (2025)
por: Duan, Tianyang, et al.
Publicado: (2025)
Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout
por: Dezhboro, Amirhossein, et al.
Publicado: (2026)
por: Dezhboro, Amirhossein, et al.
Publicado: (2026)
MACTAS: Self-Attention-Based Inter-Agent Communication in Multi-Agent Reinforcement Learning with Action-Value Function Decomposition
por: Wojtala, Maciej, et al.
Publicado: (2025)
por: Wojtala, Maciej, et al.
Publicado: (2025)
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
por: Vyaltsev, Valeriy, et al.
Publicado: (2026)
por: Vyaltsev, Valeriy, et al.
Publicado: (2026)
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
por: Andreychuk, Anton, et al.
Publicado: (2024)
por: Andreychuk, Anton, et al.
Publicado: (2024)
Scaling Multi-Agent Environment Co-Design with Diffusion Models
por: Li, Hao Xiang, et al.
Publicado: (2025)
por: Li, Hao Xiang, et al.
Publicado: (2025)
Multi-Agent Environments for Vehicle Routing Problems
por: Gama, Ricardo, et al.
Publicado: (2024)
por: Gama, Ricardo, et al.
Publicado: (2024)
Ejemplares similares
-
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
por: Liu, Zichuan, et al.
Publicado: (2022) -
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems
por: Tastan, Nurbek, et al.
Publicado: (2026) -
Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows
por: Yu, Tao, et al.
Publicado: (2026) -
Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
por: Wu, Xuefei, et al.
Publicado: (2025) -
Beyond Curve Fitting: Neuro-Symbolic Agents for Context-Aware Epidemic Forecasting
por: Chae, Joongwon, et al.
Publicado: (2025)