d from the Reasoning Module.

The authors tested their framework in two embodied multi-agent cooperation challenges: Communicative Watch-And-Help (C-WAH) and ThreeDWorld Multi-Agent Transport (TDW-MAT). The results showed that cooperative embodied agents built with LLMs can plan, communicate, and cooperate with other embodied agents and humans to accomplish long-horizon tasks efficiently. 

The study found that LLM-based agents that communicate in natural language can earn more trust and cooperate more effe