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@@ -5711,6 +5711,8 @@ The REGENT dataset includes a subset of the JAT (tokenized) dataset (from https:
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  It has around a 100k transitions from each of the 145 training environments (45 metaworld, 52 atari, 9 mujoco, 39 babyai).
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  Please find this in the *_subset folders.
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  It also has distance values for input sequences used in the REGENT model for both the above 145 training environments and 12 unseen environments.
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  These values are used for computing the distance normalization value in every environment.
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  These values, along with the indices of the input sequences, in the training environments alone, are used for pre-training REGENT.
 
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  It has around a 100k transitions from each of the 145 training environments (45 metaworld, 52 atari, 9 mujoco, 39 babyai).
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  Please find this in the *_subset folders.
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+ ![depiction of 145 training environments and 12 unseen environments](https://kaustubhsridhar.github.io/regent-research/static/images/problem_setting_jat.png)
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+
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  It also has distance values for input sequences used in the REGENT model for both the above 145 training environments and 12 unseen environments.
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  These values are used for computing the distance normalization value in every environment.
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  These values, along with the indices of the input sequences, in the training environments alone, are used for pre-training REGENT.