We show that diffusion models can reconstruct global states in decentralized partially observable multiagent systems, with approximation errors leading to deviations that can be bounded for convergence to the true state.

We propose an LLM-based Actor-Critic algorithm that integrates actor and critic methods in the way that would utilize the merits of the actor-critic algorithm with the strengths of LLMs.

We propose to design multi-cellular robots in a coarse-to-fine manner and leverage hyperbolic embeddings for realization.

We exploit the structure of the design space in robot design problems with symmetry characteristics and generate robots with high performance more efficiently.