QQWorld: Quantile-Quantile Matching for World Model Regularization
Identifies that LeWorldModel's Epps-Pulley regularization objective, which pushes latents toward an isotropic Gaussian, has corrective gradients that vanish for isolated tail samples, leaving heavy-tailed latent deviations poorly controlled. QQWorld replaces it with a quantile-quantile matching objective that keeps gradients active in the tails, improving latent-space quality for planning.
Importance: 2/5
Notable world-model research paper, official arxiv/HF source only; 22 HF Daily Papers upvotes, below the 100-upvote bump threshold.