| library_name: gia | |
| tags: | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - gia | |
| - multi-task | |
| - multi-modal | |
| - imitation-learning | |
| - offline-reinforcement-learning | |
| An imitation learning environment for the button-press-wall-v2 environment, sample for the policy button-press-wall-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 | |
| ```sh | |
| git clone https://huggingface.co/datasets/qgallouedec/prj_gia_dataset_metaworld_button_press_wall_v2_1111 | |
| ``` | |
| Then, load it with | |
| ```python | |
| import numpy as np | |
| dataset = np.load("prj_gia_dataset_metaworld_button_press_wall_v2_1111/dataset.npy", allow_pickle=True).item() | |
| print(dataset.keys()) # dict_keys(['observations', 'actions', 'dones', 'rewards']) | |
| ``` | |