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[Docs] Fix docs for visualizing reset distributions demo #313

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4 changes: 2 additions & 2 deletions docs/source/user_guide/demos/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -192,10 +192,10 @@ python -m mani_skill.examples.demo_vis_rgbd -e "StackCube-v1"

## Visualize Reset Distributions

Determining how difficult a task might be for ML algorithms like reinforcement learning and imitation learning can heavily depend on the reset distribution of the task. To see what the reset distribution of any task (the result of repeated env.reset calls) looks like you can run
Determining how difficult a task might be for ML algorithms like reinforcement learning and imitation learning can heavily depend on the reset distribution of the task. To see what the reset distribution of any task (the result of repeated env.reset calls) looks like you can run the following to save a video to the `videos` folder

```bash
python -m mani_skill.examples.demo_reset_distribution -e "PegInsertionSide-v1"
python -m mani_skill.examples.demo_reset_distribution -e "PegInsertionSide-v1" --record-dir="videos"
```

<video preload="auto" controls="True" width="100%">
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