Image de couverture de livre

Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bansal, Aayam, Gangwani, Ishaan
Format:	Preprint
Publié:	2026
Sujets:	Multiagent Systems Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AgentComm-Bench: Stress-Testing Cooperative Embodied AI Under Latency, Packet Loss, and Bandwidth Collapse
par: Bansal, Aayam, et autres
Publié: (2026)

MicroProbe: Efficient Reliability Assessment for Foundation Models with Minimal Data
par: Bansal, Aayam, et autres
Publié: (2025)

Light-Weight Benchmarks Reveal the Hidden Hardware Cost of Zero-Shot Tabular Foundation Models
par: Gangwani, Ishaan, et autres
Publié: (2025)

Zero-Training Temporal Drift Detection for Transformer Sentiment Models: A Comprehensive Analysis on Authentic Social Media Streams
par: Bansal, Aayam, et autres
Publié: (2025)

Adaptive Punishment for Cooperation in Mixed-Motive Games
par: Tang, Min, et autres
Publié: (2026)

Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
par: Bastola, Ashish, et autres
Publié: (2025)

LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning
par: Yang, Hanqing, et autres
Publié: (2025)

A Blockchain-Monitored Agentic AI Architecture for Trusted Perception-Reasoning-Action Pipelines
par: Jan, Salman, et autres
Publié: (2025)

Communication Gain and Delay Cost Under Cross-Timestep Delays in Cooperative Multi-Agent Reinforcement Learning
par: Gao, Zihong, et autres
Publié: (2026)

PC2P: Multi-Agent Path Finding via Personalized-Enhanced Communication and Crowd Perception
par: Li, Guotao, et autres
Publié: (2026)

Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate
par: Tong, Chenhao, et autres
Publié: (2024)

Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play
par: Cui, Jiaxun, et autres
Publié: (2025)

An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents
par: Qi, Junjie, et autres
Publié: (2025)

ARMOR: An Agentic Framework for Reaction Feasibility Prediction via Adaptive Utility-aware Multi-tool Reasoning
par: Liu, Ye, et autres
Publié: (2026)

Learning When to Cooperate Under Heterogeneous Goals
par: Taylor-Davies, Max, et autres
Publié: (2026)

Agentic Discovery: Closing the Loop with Cooperative Agents
par: Pauloski, J. Gregory, et autres
Publié: (2025)

Cultural Evolution of Cooperation among LLM Agents
par: Vallinder, Aron, et autres
Publié: (2024)

Cooperative Resilience in Artificial Intelligence Multiagent Systems
par: Chacon-Chamorro, Manuela, et autres
Publié: (2024)

Aligning Individual and Collective Objectives in Multi-Agent Cooperation
par: Li, Yang, et autres
Publié: (2024)

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
par: Bae, Sangjun, et autres
Publié: (2026)

Reputation as a Solution to Cooperation Collapse in LLM-based MASs
par: Ren, Siyue, et autres
Publié: (2025)

Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models
par: Xu, Can, et autres
Publié: (2026)

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
par: Liu, Lunjun, et autres
Publié: (2024)

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
par: Lou, Xingzhou, et autres
Publié: (2023)

XAgents: A Framework for Interpretable Rule-Based Multi-Agents Cooperation
par: Yang, Hailong, et autres
Publié: (2024)

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
par: Khalid, Rabiya, et autres
Publié: (2025)

Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
par: Shao, Jiaqi, et autres
Publié: (2024)

Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
par: Zhou, John L., et autres
Publié: (2024)

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents
par: Zhang, Enhao, et autres
Publié: (2025)

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
par: Oh, Dahyun, et autres
Publié: (2026)

COOP$^2$: Defining, Observing, and Repairing Cooperation in LLM Multi-Agent Systems
par: Yang, Hanqing, et autres
Publié: (2026)

Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
par: Elrod, Michael, et autres
Publié: (2025)

Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation
par: Pitliya, Riddhi J., et autres
Publié: (2025)

Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
par: Hua, Yun, et autres
Publié: (2025)

Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization
par: Qu, Chengrui, et autres
Publié: (2026)

Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Cooperation in Human-AI Teaming
par: Biswas, Upasana, et autres
Publié: (2025)

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
par: Ma, Hao, et autres
Publié: (2024)

The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems
par: Gupta, Prateek, et autres
Publié: (2025)

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives
par: Jin, Weiqiang, et autres
Publié: (2025)

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning
par: Xu, Zhiwei, et autres
Publié: (2024)