Author

Haonan Wang

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#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, Zhi-Long Zhang et al. · 0 citations

#artificial intelligence Preprint May 2025

Synergistic Vision-Language Reinforcement Enables Scalable On-Demand Analysis across Diverse Clinical Tasks

SyRe is presented, a promptable segmentation foundation model based on Synergistic vision-language Reinforcement that achieves accurate text-prompted segmentation across diverse clinical scenarios, with particularly strong performance on disease-related targets.

Haonan Wang, J. Mao, Le-Han Wang et al. · 2 citations

Jul 2026

Predictive Divergence Masks for LLM RL

The predictive divergence mask is proposed, which asks whether the next policy-gradient step will increase or decrease the same divergence used by the trust region, and the resulting masks improve RL training across model scales and precision settings.

Xiang-Xin Zhou, Jiarui Yao, Penghui Qi et al. · arXiv.org · 0 citations