GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems.

This paper introduces GlobeDiff, a novel state diffusion process designed to address partial observability challenges in multi-agent systems. It offers a robust framework for agents to infer global states from limited local observations, crucial for coordination in complex dynamic environments like autonomous driving or robotics.