Identifiability of Ensemble Disagreement under One-Step Distillation
Model-based reinforcement learning gates imagined transitions by how much an ensemble disagrees, and diffusion world models are distilled into one-step students to make that imagination affordable. Whether distillation preserves the score the gate reads is rarely checked; we show that it need not. Matching the teacher'...