Author

Hao-Tian Yang

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Preprint Oct 2026

Routing Policy Optimization for Online Diffusion Reinforcement Learning

Reinforcement learning can align visual generators with reward signals beyond their pretraining objectives, but existing score-function methods typically introduce stochasticity by perturbing the reverse denoising trajectory, leading to costly rollout-based optimization. We instead ask whether stochastic exploration ca...

Qiuhong Shen, Yiding Yang, Yu-Xin Zhang et al. · 0 citations

#machine learning Preprint Sep 2026

PDMD: Projected Distribution Matching Distillation for Video Diffusion Models

This work introduces Projected Distribution Matching Distillation (PDMD) to filter critic errors, and shows how this projection stabilizes training and improves sample quality where DMD degrades and develops unnatural textures.

Zi-Mo Wang, Junkun Yuan, Ang-Tian Wang et al. · 0 citations