Mian Wu

2 accepted papers

2026

Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning

Qi Wang, Mian Wu, Yuyang Zhang, Mingqi Yuan, Wenyao Zhang, Haoxiang You +4

CVPR 2026

Reinforcement Learning (RL) has achieved remarkable success in various domains, yet it often relies on carefully designed programmatic reward functions to guide agent behavior. Designing such reward functions can be challenging and may not generalize well across different tasks. To address this limi

Cited by 0 Source ↗Scholar ↗

2026

Reinforcement Learning from Dynamic Critic Feedback for Free-Form Generations

Mian Wu, Gavin Zhang, Sewon Min, Sergey Levine, Aviral Kumar

ICLR 2026poster

Open-ended generation tasks require outputs to satisfy diverse and often implicit task-specific evaluation rubrics. The sheer number of relevant rubrics leads to prohibitively high verification costs and incomplete assessments of a response, making reinforcement learning (RL) post-training with rubr…

Cited by 0 Source ↗Scholar ↗