regent-creators
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Update README.md
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README.md
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path: mujoco-walker_subset/train-*
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This is the dataset for `REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context In New Environments
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The REGENT dataset includes a subset of the JAT (tokenized) dataset (from https://huggingface.co/datasets/jat-project) for the REGENT training environments.
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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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We detail this REGENT subset of the JAT dataset at https://github.com/regent-research/regent/blob/main/scripts_preprocessing/README.md.
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path: mujoco-walker_subset/train-*
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---
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+
This is the dataset for `REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context In New Environments`.
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+
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The REGENT dataset includes a subset of the JAT (tokenized) dataset (from https://huggingface.co/datasets/jat-project) for the REGENT training environments.
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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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+
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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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+
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We detail this REGENT subset of the JAT dataset at https://github.com/regent-research/regent/blob/main/scripts_preprocessing/README.md.
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