RLinf
RLinf is an open-source reinforcement learning infrastructure for training embodied and agentic AI models at scale.
What it is good for
- Training robot control policies with reinforcement learning
- Fine-tuning vision-language-action models for physical robots
- Running reinforcement learning on large language model agents
- Scaling reinforcement learning jobs across many GPUs
At a glance
- Who it is for
- Setup
- Requires programming
Level 5 of 5. You need to write code to use it.
- Cost
- Free and open source
- Type
- Framework or SDK
- Works with
- PyTorch, OpenPI, LIBERO, Isaac Lab, Megatron-Bridge, SGLang
Momentum
- Rank this week
- Not ranked yet
- Best rank
- None yet
- GitHub stars
- 5,572
GitHub numbers as of Nov 2, 2026. Updated weekly.
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is RLinf free?
- Yes. It is free and open source (Apache-2.0 license).
- Do I need to know how to code to use RLinf?
- Yes. You need to write code to use it.
- What does RLinf work with?
- According to its own documentation, it works with PyTorch, OpenPI, LIBERO, Isaac Lab, Megatron-Bridge, and SGLang.
- What is RLinf good for?
- Training robot control policies with reinforcement learning, fine-tuning vision-language-action models for physical robots, running reinforcement learning on large language model agents, and scaling reinforcement learning jobs across many GPUs.
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