Language & agents ICML 2026
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
UNIST · Machine Learning & Intelligent Control Lab
Read the paper ↗RESEARCH OVERVIEW
Use an LLM to design communication protocols that help partially observable agents reconstruct the shared state.
LMAC refines its communication protocol using a state-awareness criterion. The goal is to improve state reconstruction across agents while reducing differences in what each agent knows.
Publication details & source ↗