Author

Austin S. Wang

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#machine learning Preprint Sep 2026

Aligning One-Step Generative Models with Reward-Weighted Transport Distillation

Theoretical analysis shows that the fixed-point distributions of RWTD interpolate between off-policy reward tilting of the reference and on-policy tilting of the current model, providing a principled approach to balancing reward adaptation with retention of prior knowledge.

Austin S. Wang, Zi-Heng Cheng, Le-Xing Ying · 0 citations