Imagen de Portada

Interference-Aware K-Step Reachable Communication in Multi-Agent Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng, Ziyu, Ren, Jinsheng, Jiang, Zhouxian, Li, Chenzhihang, Shi, Rongye, Liang, Bin, Yang, Jun
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
por: Yu, Xin, et al.
Publicado: (2023)

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
por: Feng, Pu, et al.
Publicado: (2024)

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
por: Feng, Pu, et al.
Publicado: (2025)

StepOPSD: Step-Aware Online Preference Distillation for Agent Reinforcement Learning
por: Zhang, Yanfei, et al.
Publicado: (2026)

Robust and Efficient Communication in Multi-Agent Reinforcement Learning
por: Liu, Zejiao, et al.
Publicado: (2025)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
por: Yin, Qiyue, et al.
Publicado: (2022)

Multi-Agent Reinforcement Learning with Communication-Constrained Priors
por: Yang, Guang, et al.
Publicado: (2025)

ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
por: Ding, Lei, et al.
Publicado: (2026)

Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents
por: Zhen, Shuai, et al.
Publicado: (2026)

Adaptive Robust Estimator for Multi-Agent Reinforcement Learning
por: Li, Zhongyi, et al.
Publicado: (2026)

WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning
por: Lu, Zimu, et al.
Publicado: (2025)

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners
por: Ji, Jiabao, et al.
Publicado: (2025)

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

Interference-Aware Multi-Task Unlearning
por: Huang, Ying-Hua, et al.
Publicado: (2026)

Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning
por: Yang, Pei, et al.
Publicado: (2025)

An Overlay Multicast Routing Method Based on Network Situational Awareness and Hierarchical Multi-Agent Reinforcement Learning
por: Ye, Miao, et al.
Publicado: (2026)

Reducing Cognitive Overhead in Tool Use via Multi-Small-Agent Reinforcement Learning
por: Wang, Dayu, et al.
Publicado: (2025)

$K$-Level Policy Gradients for Multi-Agent Reinforcement Learning
por: Reddi, Aryaman, et al.
Publicado: (2025)

Towards Fault Tolerance in Multi-Agent Reinforcement Learning
por: Shi, Yuchen, et al.
Publicado: (2024)

Do Agents Know What They Can't Do? Evaluating Feasibility Awareness in Tool-Using Agents
por: Cheng, Liang, et al.
Publicado: (2026)

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
por: Pavel, Monirul Islam, et al.
Publicado: (2026)

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
por: Chen, Yiqun, et al.
Publicado: (2024)

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
por: Wan, Ziyu, et al.
Publicado: (2025)

Multi-Agent Deep Reinforcement Learning Under Constrained Communications
por: Shaik, Shahil, et al.
Publicado: (2026)

Relation-Aware LNN-Transformer for Intersection-Centric Next-Step Prediction
por: Ren, Zhehong, et al.
Publicado: (2025)

Communication Gain and Delay Cost Under Cross-Timestep Delays in Cooperative Multi-Agent Reinforcement Learning
por: Gao, Zihong, et al.
Publicado: (2026)

LLM Collaboration With Multi-Agent Reinforcement Learning
por: Liu, Shuo, et al.
Publicado: (2025)

Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
por: Ren, Tianyu, et al.
Publicado: (2024)

Tree Search for LLM Agent Reinforcement Learning
por: Ji, Yuxiang, et al.
Publicado: (2025)

Reinforcing Language Agents via Policy Optimization with Action Decomposition
por: Wen, Muning, et al.
Publicado: (2024)

Reinforcement Learning for Machine Learning Engineering Agents
por: Yang, Sherry, et al.
Publicado: (2025)

MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
por: Zheng, Ziyu, et al.
Publicado: (2026)

RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
por: Zhang, Zhen, et al.
Publicado: (2026)

SLEA-RL: Step-Level Experience Augmented Reinforcement Learning for Multi-Turn Agentic Training
por: Wang, Prince Zizhuang, et al.
Publicado: (2026)

Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
por: Luo, Yu, et al.
Publicado: (2024)

Offline Reinforcement Learning for LLM Multi-Step Reasoning
por: Wang, Huaijie, et al.
Publicado: (2024)

Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference
por: Ma, Guoqing, et al.
Publicado: (2025)

Uncertainty-Aware Knowledge Transformers for Peer-to-Peer Energy Trading with Multi-Agent Reinforcement Learning
por: Shah, Mian Ibad Ali, et al.
Publicado: (2025)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
por: Duan, Wei, et al.
Publicado: (2024)

Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
por: Hu, Bin, et al.
Publicado: (2023)