2025
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
ICLR 2025poster
Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of multi-agent systems and fail to adaptively learn online when tested with novel agents. Here, we leverage large language models (LLMs) to create an autonomous agent that can handle these challenges. Our agent, Hyp…