From 2f6c870c4bcdae29d9d35be1e425ad7291e169f3 Mon Sep 17 00:00:00 2001
From: Francesco Capuano <74058581+fracapuano@users.noreply.github.com>
Date: Sat, 20 Dec 2025 16:11:02 +0000
Subject: [PATCH] Fixes ReadMe Policies Classification (#2682)

* fix: tdmpc is a model-based RL method, does not learn from expert demonstrations so no IL there

* fix: typo

* remove trailing space

Signed-off-by: Francesco Capuano <74058581+fracapuano@users.noreply.github.com>

* fix: minor

---------

Signed-off-by: Francesco Capuano <74058581+fracapuano@users.noreply.github.com>
---
 README.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index f4c2a8406..02652d1c9 100644
--- a/README.md
+++ b/README.md
@@ -99,11 +99,11 @@ lerobot-train \
   --dataset.repo_id=lerobot/aloha_mobile_cabinet
 ```
 
-| Category                   | Models                                                                                                                                                                                          |
-| -------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Imitation Learning**     | [ACT](./docs/source/policy_act_README.md), [Diffusion](./docs/source/policy_diffusion_README.md), [TDMPC](./docs/source/policy_tdmpc_README.md), [VQ-BeT](./docs/source/policy_vqbet_README.md) |
-| **Reinforcement Learning** | [HIL-SERL](./docs/source/hilserl.mdx) & QC-FQL (coming soon)                                                                                                                                    |
-| **VLAs Models**            | [Pi0.5](./docs/source/pi05.mdx), [GR00T N1.5](./docs/source/policy_groot_README.md), [SmolVLA](./docs/source/policy_smolvla_README.md), [XVLA](./docs/source/xvla.mdx)                          |
+| Category                   | Models                                                                                                                                                                 |
+| -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Imitation Learning**     | [ACT](./docs/source/policy_act_README.md), [Diffusion](./docs/source/policy_diffusion_README.md), [VQ-BeT](./docs/source/policy_vqbet_README.md)                       |
+| **Reinforcement Learning** | [HIL-SERL](./docs/source/hilserl.mdx), [TDMPC](./docs/source/policy_tdmpc_README.md) & QC-FQL (coming soon)                                                            |
+| **VLAs Models**            | [Pi0.5](./docs/source/pi05.mdx), [GR00T N1.5](./docs/source/policy_groot_README.md), [SmolVLA](./docs/source/policy_smolvla_README.md), [XVLA](./docs/source/xvla.mdx) |
 
 Similarly to the hardware, you can easily implement your own policy & leverage LeRobot's data collection, training, and visualization tools, and share your model to the HF Hub
 
@@ -129,7 +129,7 @@ Learn how to implement your own simulation environment or benchmark and distribu
 - **[Documentation](https://huggingface.co/docs/lerobot/index):** The complete guide to tutorials & API.
 - **[Discord](https://discord.gg/3gxM6Avj):** Join the `LeRobot` server to discuss with the community.
 - **[X](https://x.com/LeRobotHF):** Follow us on X to stay up-to-date with the latest developments.
-- **[Robotics Learning Tutorial](https://huggingface.co/spaces/lerobot/robot-learning-tutorial):** A free, hands-on course to learn robot learning using LeRobot.
+- **[Robot Learning Tutorial](https://huggingface.co/spaces/lerobot/robot-learning-tutorial):** A free, hands-on course to learn robot learning using LeRobot.
 
 ## Citation