RLinf

RLinf on Hugging Face Daily Papers: 6 papers, 1 in the top 3 of their day, 0 paper of the day.

1. LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies 4 upvotes, #34 of 2026-06-16
2. RLinf-Co: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models 11 upvotes, #11 of 2026-02-16
3. RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI 53 upvotes, #10 of 2026-02-10
4. WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning 92 upvotes, #3 of 2026-02-05
5. π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models 59 upvotes, #5 of 2025-11-03
6. RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training 35 upvotes, #4 of 2025-10-09

Data: hysts-bot-data/daily-papers-stats and the Daily Papers API. Open data: tardellirs/paper-pulse-data. Sister project: Model Pulse, the download history of every model on the Hub.