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Embedding individual control barrier functions into diffusion models can dramatically enhance safety in multi-agent reinforcement learning without sacrificing performance.
Unlock instance segmentation from semantic masks alone with MORI-Seg, which learns morphological geometry to disentangle touching objects without instance-level annotations.
