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chore: update 4_train_policy_with_script.md (#257) 

Co-authored-by: Alexander Soare <alexander.soare159@gmail.com>
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Ikko Eltociear Ashimine 2024-06-11 16:24:39 +09:00 committed by GitHub
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examples/4_train_policy_with_script.md
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@ -46,7 +46,7 @@ defaults:
- policy: diffusion
```
This logic tells Hydra to incorporate configuration parameters from `env/pusht.yaml` and `policy/diffusion.yaml`. _Note: Be aware of the order as any configuration parameters with the same name will be overidden. Thus, `default.yaml` is overriden by `env/pusht.yaml` which is overidden by `policy/diffusion.yaml`_.
This logic tells Hydra to incorporate configuration parameters from `env/pusht.yaml` and `policy/diffusion.yaml`. _Note: Be aware of the order as any configuration parameters with the same name will be overidden. Thus, `default.yaml` is overridden by `env/pusht.yaml` which is overidden by `policy/diffusion.yaml`_.
Then, `default.yaml` also contains common configuration parameters such as `device: cuda` or `use_amp: false` (for enabling fp16 training). Some other parameters are set to `???` which indicates that they are expected to be set in additional yaml files. For instance, `training.offline_steps: ???` in `default.yaml` is set to `200000` in `diffusion.yaml`.