:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Wu, Xiangfan
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning Multiagent Systems
Acceso en línea:	https://arxiv.org/abs/2506.13358
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Prompting Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with Iterative Distillation of Experience
por: Sayana, Krishna, et al.
Publicado: (2026)

Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
por: Ye, Jianing, et al.
Publicado: (2022)

DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices
por: Li, Songyuan, et al.
Publicado: (2026)

Efficient support ticket resolution using Knowledge Graphs
por: Varghese, Sherwin, et al.
Publicado: (2024)

Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
por: Wu, Wenyi, et al.
Publicado: (2026)

Toward Autonomous Engineering Design: A Knowledge-Guided Multi-Agent Framework
por: Kumar, Varun, et al.
Publicado: (2025)

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
por: Tessera, Kale-ab Abebe, et al.
Publicado: (2024)

EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks
por: Ray, Abir
Publicado: (2025)

Socratic: Enhancing Human Teamwork via AI-enabled Coaching
por: Seo, Sangwon, et al.
Publicado: (2025)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
por: Rutherford, Alexander, et al.
Publicado: (2023)

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
por: Chen, Yiqun, et al.
Publicado: (2022)

Multi-Agent Path Finding via Offline RL and LLM Collaboration
por: Atasever, Merve, et al.
Publicado: (2025)

FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
por: Koh, Woosung, et al.
Publicado: (2024)

KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
por: Shi, Xiangyu, et al.
Publicado: (2025)

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
por: Zhang, Yifan, et al.
Publicado: (2025)

In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks
por: Yang, Huitao, et al.
Publicado: (2025)

Iterative Graph Alignment
por: Yu, Fangyuan, et al.
Publicado: (2024)

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
por: Zhang, Zhicheng, et al.
Publicado: (2024)

Adaptively Coordinating with Novel Partners via Learned Latent Strategies
por: Li, Benjamin, et al.
Publicado: (2025)

EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
por: Alqithami, Saad
Publicado: (2026)

Quantifying Skill and Chance: A Unified Framework for the Geometry of Games
por: Silver, David H.
Publicado: (2025)

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs
por: Xie, Yuzhang, et al.
Publicado: (2025)

STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
por: Kirtania, Shashank, et al.
Publicado: (2024)

A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation
por: Li, Jiulin, et al.
Publicado: (2025)

Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review
por: Hu, Siyi, et al.
Publicado: (2025)

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization
por: Sun, Qitong, et al.
Publicado: (2026)

A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
por: Wang, Taiyi, et al.
Publicado: (2026)

OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization
por: Madiraju, Meher Bhaskar, et al.
Publicado: (2025)

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
por: Li, Shijun, et al.
Publicado: (2025)

A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis
por: Sharma, Dinesh, et al.
Publicado: (2023)

The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment Design
por: Ruhdorfer, Constantin, et al.
Publicado: (2024)

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
por: Wang, Zhao, et al.
Publicado: (2025)

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
por: Song, Yiwen, et al.
Publicado: (2026)

ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
por: Goyal, Palash, et al.
Publicado: (2026)

Efficient Multi-agent Reinforcement Learning by Planning
por: Liu, Qihan, et al.
Publicado: (2024)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
por: Gu, Hankang, et al.
Publicado: (2025)

A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
por: Chen, Siyuan, et al.
Publicado: (2024)

EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
por: Molinari, Gioele, et al.
Publicado: (2026)

Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
por: Bhambri, Siddhant, et al.
Publicado: (2023)

Episodic Memory in Agentic Frameworks: Suggesting Next Tasks
por: Fiorini, Sandro Rama, et al.
Publicado: (2025)