Zhennan Jiang

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upvoted 4 papers 11 days ago

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

Paper • 2509.15965 • Published Sep 19, 2025 • 19

RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training

Paper • 2510.06710 • Published Oct 8, 2025 • 43

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

Paper • 2602.04634 • Published Feb 4 • 96

RLinf-Co: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models

Paper • 2602.12628 • Published 28 days ago • 12

upvoted a paper 12 days ago

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL

Paper • 2602.13977 • Published 26 days ago • 1

upvoted a paper 28 days ago

RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI

Paper • 2602.07837 • Published Feb 8 • 53

upvoted a paper 4 months ago

π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models

Paper • 2510.25889 • Published Oct 29, 2025 • 66