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README.md ADDED
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+ ---
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+ library_name: gia
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+ tags:
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - gia
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+ - multi-task
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+ - multi-modal
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+ - imitation-learning
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+ - offline-reinforcement-learning
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+ ---
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+
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+ An imitation learning environment for the plate-slide-side-v2 environment, sample for the policy plate-slide-side-v2
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+
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+ This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
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+
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+
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+
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+
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+ ## Load dataset
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+
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+ First, clone it with
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+
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+ ```sh
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+ git clone https://huggingface.co/datasets/qgallouedec/prj_gia_dataset_metaworld_plate_slide_side_v2_1111
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+ ```
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+
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+ Then, load it with
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+
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+ ```python
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+ import numpy as np
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+ dataset = np.load("prj_gia_dataset_metaworld_plate_slide_side_v2_1111/dataset.npy", allow_pickle=True).item()
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+ print(dataset.keys()) # dict_keys(['observations', 'actions', 'dones', 'rewards'])
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+ ```
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+
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+
dataset.npy ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:13b5107bcc0de4e2da3adb01772bf069d4c07a57ed5abea9bda33070008454bc
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+ size 17700601