For multi-agent offline safe reinforcement learning (MOSRL), we propose the first algorithm MOSDT, and the first dataset and benchmark MOSDB.

AsymDSD is a self-supervised learning framework for 3D point clouds that combines masked modeling and invariance learning through latent space prediction.