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@@ -27,15 +27,15 @@ See `model/*/cp_*/cfg.json` for the hyperparameters that were used to train a pa
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  ## Best Models:
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  The best models for each of the model type are stored in the following directory:
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- - DRC(3, 3): `drc33/bkynosqi/cp_2002944000`
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- - DRC(1, 1): `drc11/eue6pax7/cp_2002944000`
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- - ResNet: `resnet/syb50iz7/cp_2002944000`
 
 
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- ## Parameter counts:
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- - DRC(3, 3): 1,285,125 (1.29M)
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- - DRC(1, 1): 987,525 (0.99M)
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- - ResNet: 3,068,421 (3.07M)
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  ## Training dataset:
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@@ -43,7 +43,7 @@ The [Boxoban set of levels by DeepMind](https://github.com/google-deepmind/boxob
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  # Citation
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- If you use these neural networks, please cite our work:
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  ```bibtex
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  @inproceedings{garriga-alonso2024planning,
 
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  ## Best Models:
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  The best models for each of the model type are stored in the following directory:
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+ | Model | Directory | Parameter Count |
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+ |------------|-----------|-----------------|
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+ | DRC(3, 3) | `drc33/bkynosqi/cp_2002944000` | 1,285,125 (1.29M) |
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+ | DRC(1, 1) | `drc11/eue6pax7/cp_2002944000` | 987,525 (0.99M) |
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+ | ResNet | `resnet/syb50iz7/cp_2002944000` | 3,068,421 (3.07M) |
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+ ## Probes & SAEs:
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+ The trained probes and SAEs are stored in the `probes` and `saes` directories, respectively.
 
 
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  ## Training dataset:
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  # Citation
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+ If you use any of these artifacts, please cite our work:
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  ```bibtex
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  @inproceedings{garriga-alonso2024planning,