
An imitation learning environment for the push-v2 environment, sample for the policy push-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_push_v2_1111
```

Then, load it with

```python
import numpy as np
dataset = np.load("prj_gia_dataset_metaworld_push_v2_1111/dataset.npy", allow_pickle=True).item()
print(dataset.keys())  # dict_keys(['observations', 'actions', 'dones', 'rewards'])
```

    
deep-reinforcement-learning reinforcement-learning gia multi-task multi-modal imitation-learning offline-reinforcement-learning region:us
{"library_name": "gia", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "gia", "multi-task", "multi-modal", "imitation-learning", "offline-reinforcement-learning"]}
TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us 


An imitation learning environment for the push-v2 environment, sample for the policy push-v2 

This environment was created as part of the Generally Intelligent Agents project gia: URL 




## Load dataset

First, clone it with



Then, load it with



    
## Load dataset

First, clone it with



Then, load it with
TAGS
#deep-reinforcement-learning #reinforcement-learning #gia #multi-task #multi-modal #imitation-learning #offline-reinforcement-learning #region-us 
 ## Load dataset

First, clone it with



Then, load it with