Author

Zhi-Chao Wu

h-index 4 View on Semantic Scholar

We have 2 of 11 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Sep 2026

Prioritized Rollouts for Efficient World Model-based Vision-Language-Action Policy Optimization

Vision-Language-Action (VLA) models have emerged as a powerful paradigm for embodied intelligence, but fine-tuning them with reinforcement learning (RL) remains constrained by the cost of real-world robot interaction. Model-based reinforcement learning (MBRL) reduces this cost by using a learned world model to generate...

Yi-Fei Sheng, Hao-Xiang Ren, Zhilong Zhang et al. · 0 citations

Jul 2026

VINE: Taming Generative Control Policies for Reinforcement Learning

VINE is proposed, an RL-oriented sampling method that enables stable end-to-end value-gradient optimization for flow-matching policies and achieves stable policy improvement and consistently outperforms state-of-the-art RL methods on the OGBench offline RL benchmark and real-world robotic manipulation task.

Rushuai Yang, Zhuo Han, Houlin Li et al. · arXiv.org · 0 citations