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Minor README changes.
PiperOrigin-RevId: 331572243
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Diego de Las Casas
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@@ -16,13 +16,12 @@ If you use the code here please cite this paper:
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Also available in arXiv [arxiv.org/abs/2002.09405](https://arxiv.org/abs/2002.09405)) and as a [site](https://sites.google.com/corp/view/learning-to-simulate).
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## Example usage: training model and displaying trajectories.
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## Example usage: train a model and display a trajectory
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(After downloading the repo, from the parent directory.)
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Install dependencies:
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After downloading the repo, and from the parent directory. Install dependencies:
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pip install -r learning_to_simulate/requirements.txt
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mkdir -p /tmp/rollous
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@@ -94,7 +93,8 @@ The provided script `./download_dataset.sh` may be used to download all files fr
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An additional smaller dataset `WaterDropSample`, including only the first two trajectories of `WaterDrop` for each split is provided for debugging purposes.
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## Code structure.
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## Code structure
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* `train.py`: Script for training, evaluating and generating rollout trajectories.
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* `learned_simulator.py`: Implementation of the learnable one-step model that returns the next position of the particles given inputs. It includes data preprocessing, Euler integration, and a helper method for building normalized training outputs and targets.
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