2025
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
RA-L 2025
Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low sample efficiency and requires iterative manual reward tuning. Large Language Models (LLMs) have shown promise in single-robot settings, but their application in multi-robot systems rem