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Fixes ReadMe Policies Classification (#2682)

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* 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>
This commit is contained in:
Francesco Capuano
2025-12-20 16:11:02 +00:00
committed by GitHub
parent 0bd1969d0a
commit 2f6c870c4b
1 changed files with 6 additions and 6 deletions
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README.md
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@@ -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