From abba423e28d629bb6fa09d78bd0743dfa3c63ed2 Mon Sep 17 00:00:00 2001 From: Jade Choghari Date: Fri, 5 Sep 2025 12:23:22 +0300 Subject: [PATCH] Update docs/source/libero.mdx Co-authored-by: Dana Aubakirova <118912928+danaaubakirova@users.noreply.github.com> Signed-off-by: Jade Choghari --- docs/source/libero.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/libero.mdx b/docs/source/libero.mdx index 338b41a6d..ac5988ceb 100644 --- a/docs/source/libero.mdx +++ b/docs/source/libero.mdx @@ -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]"`