RLinf: Reinforcement Learning Infrastructure for Agentic AI

RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning. 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 Assets for ManiSkill

Thanks to the assets from objaverse, our assets are built upon their work. To validate the effectiveness of our training–inference framework RLinf, we adapt methods from rl4vla into our RLinf framework.

How to Use

Users can download the assets required for ManiSkill tasks in our framework and place them onto the target development machine:

The assets/ folder should be placed in: /pathtorepo/rlinf/envs/maniskill/assets/
The .sapien/ folder should be placed in: ~/.sapien/
The .maniskill/ folder should be placed in: ~/.maniskill/

License

We follow the license of Objaverse-XL. The use of the dataset as a whole is licensed under the ODC-By v1.0 license. Individual objects in Objaverse-XL are licensed under different licenses.