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Humanoid robots can now seamlessly transition between fighting skills thanks to a novel policy gating approach that ensures stability and smoothness.
Humanoid robots can now adapt to diverse environments without task-specific tuning by selectively "relaxing" joints, mimicking how humans exploit weightlessness for stability.
Object hallucination in LVLMs can be significantly reduced *after* training, without any extra data or compute.
Stop blasting your diffusion models with a single, static reward signal: fine-grained credit assignment across denoising steps and objectives unlocks better image and video generation.
Ditch the learned router: a global scheduler for Mixture-of-Experts models unlocks state-of-the-art multi-domain learning by explicitly optimizing dataset-to-expert assignments.
