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An imitation learning environment for the push-back-v2 environment, sample for the policy push-back-v2
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
Load dataset
First, clone it with
git clone https://huggingface.co/datasets/qgallouedec/prj_gia_dataset_metaworld_push_back_v2_1111
Then, load it with
import numpy as np
dataset = np.load("prj_gia_dataset_metaworld_push_back_v2_1111/dataset.npy", allow_pickle=True).item()
print(dataset.keys()) # dict_keys(['observations', 'actions', 'dones', 'rewards'])
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