Yu Wang

works on

contact-rich control 1 manipulation 1 memory-augmented agents 1 task planning 1 vision-language models 1

From the 1 of 12 linked papers with an AI index.

collaborators

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cs.LG2026

Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuning

Daoyi Li, Yixian Zhang, Chao Yu +2

Offline-to-online (O2O) reinforcement learning aims to leverage policies pretrained on static datasets while improving them through online interaction. However, directly reusing an…

cs.LG2026

$I ¨ _{RL}$ : Online RL Fine-tuning for Flow-based Vision-Language-Action Models

Kang Chen, Zhihao Liu, Tonghe Zhang +11

Vision-Language-Action (VLA) models enable robots to understand and perform complex tasks from multimodal input. Although recent work explores using reinforcement learning (RL) to…

cs.LG2025

RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation

Chao Yu, Yuanqing Wang, Zhen Guo +26

Reinforcement learning (RL) has demonstrated immense potential in advancing artificial general intelligence, agentic intelligence, and embodied intelligence. However, the inherent…

Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuning

I¨RL​: Online RL Fine-tuning for Flow-based Vision-Language-Action Models

RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation

$I ¨ _{RL}$ : Online RL Fine-tuning for Flow-based Vision-Language-Action Models