RLinf/RLinf
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RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
About
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for next-generation training. It also stands for Infinite, symbolizing the system’s support for open-ended learning, continuous generalization, and limitless possibilities in intelligence development.
RLinf has high flexibility to support diverse RL training workflows (PPO, GRPO, SAC and so on), while hiding the complexity of distributed programming. Users can easily scale RL training to a large number of GPU nodes without…
Excerpted from github.com/RLinf/RLinf
Latest metrics
| Stars | 4.1k | 2026-07-16 |
|---|---|---|
| Forks | 595 | 2026-07-16 |
| Commits | 632 | 2026-07-16 |
| Releases | 3 | 2026-07-16 |
| Watchers | 17 | 2026-07-16 |
| Open issues | 216 | 2026-07-16 |
| Open PRs | 43 | 2026-07-16 |