Yi-Lie Huang

Adaptive Reparametrized Time for Score-Based Diffusion Sampling

This work introduces ART-RL, an auxiliary randomized formulation with Gaussian policies that turns schedule learning into a continuous-time reinforcement learning problem and proves that the randomized ART-RL formulation is equivalent to ART at the optimizer level, in the sense that its optimal Gaussian policy recovers...