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Alan Zhao

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#machine learning Preprint Sep 2026

Elucidating the Design Space of Regression-based Diffusion Reinforcement Learning

Under the unified modeling framework, the relaxations that prior art made during building the advantage-embedded regression target are unraveled and approximating the KKT condition and posterior normalizer for the linear and exponential tilt shapes DiffusionNFT and FlowAWR respectively, while preserving the exact spars...

Toyota Li, David Zhao, Alan Zhao · 0 citations
#artificial intelligence Preprint Sep 2026

RewardVerse: Rubric-Guided Policy Optimization for Video Reward Modeling

RewardVerse, a rubric-based video reward framework that introduces a dynamic rubric as an intermediate representation between the evaluation query and the scorer, mitigates scalar drift, and provides a robust and interpretable reward signal for RL in video generation.

Zhen-Chen Tang, Yang Li, Songlin Yang et al. · 1 citation
Preprint Aug 2026

WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models

WorldCycle is introduced, a self-verifiable RL framework that constructs closed action cycles and their repeated executions from ordinary action sequences, and optimizes two complementary rewards: a spatial closure reward enforcing symmetry between mirrored forward and reverse segments, and a temporal consistency rewar...

Bohai Gu, Yueyang Yuan, Tai-Yi Wu et al. · 2 citations

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