Blog#
This section contains miscellaneous topics related to the RLinf framework that do not fall under other predefined categories. It includes engineering notes, system optimization write-ups, and other in-depth articles from the RLinf team.
We will continue to expand this section with more content. Stay tuned!
- Comparison with VeRL
- A First Look at the “Last Mile” of Agent Deployment: Cursor Online Reinforcement Learning
- Accelerating the “ImageNet Moment” of Embodied AI: RLinf Brings a 25× System Optimization to BEHAVIOR
- RLinf x SGLang: Integrating Cosmos3 from Fine-Tuning to Efficient Parallel Evaluation
- RLinf Ă— WorldLoop: Extending WoVR with a Training-Free VLM Reward