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Update docs/source/libero.mdx

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Co-authored-by: Dana Aubakirova <118912928+danaaubakirova@users.noreply.github.com>
Signed-off-by: Jade Choghari <chogharijade@gmail.com>
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Jade Choghari
2025-09-05 12:23:22 +03:00
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@@ -20,7 +20,7 @@ Together, these suites cover **130 tasks**, ranging from simple object manipulat
At **LeRobot**, we ported [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) into our framework and used it primarily to **benchmark [SmolVLA](https://huggingface.co/docs/lerobot/en/smolvla)**, our lightweight Vision-Language-Action model, comparing it against state-of-the-art VLA models such as Pi0, OpenVLA, Octo, and Diffusion Policy.
LIBERO is now part of our **multi-eval supported simulation**, meaning you can benchmark your policies either on a **single suite of tasks** or across **multiple suites at once** with just a flag.
LIBERO is now part of our **multi-eval supported simulation**, allowing you to benchmark your policies either on a **single suite of tasks** or across **multiple suites at once** with just a single flag.
To Install LIBERO, after following LeRobot official instructions, just do:
`pip install -e ".[libero]"`