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docs/style: updating docs and deprecated links (#1584)

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Caroline Pascal
2025-07-28 12:55:47 +02:00
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parent b61a4ded9a
commit 664e069c3f
6 changed files with 9 additions and 9 deletions
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@@ -28,7 +28,7 @@ This guide provides step-by-step instructions for training a robot policy using
- A gamepad (recommended) or keyboard to control the robot
- A Nvidia GPU
- A real robot with a follower and leader arm (optional if you use the keyboard or the gamepad)
- A URDF file for the robot for the kinematics package (check `lerobot/common/model/kinematics.py`)
- A URDF file for the robot for the kinematics package (check `lerobot/model/kinematics.py`)
## What kind of tasks can I train?
@@ -477,7 +477,7 @@ Create a training configuration file (example available [here](https://huggingfa
1. Configure the policy settings (`type="sac"`, `device`, etc.)
2. Set `dataset` to your cropped dataset
3. Configure environment settings with crop parameters
4. Check the other parameters related to SAC in [configuration_sac.py](https://github.com/huggingface/lerobot/blob/19bb621a7d0a31c20cd3cc08b1dbab68d3031454/lerobot/common/policies/sac/configuration_sac.py#L79).
4. Check the other parameters related to SAC in [configuration_sac.py](https://github.com/huggingface/lerobot/blob/main/src/lerobot/policies/sac/configuration_sac.py#L79).
5. Verify that the `policy` config is correct with the right `input_features` and `output_features` for your task.
**Starting the Learner**