qgallouedec/prj_gia_dataset_metaworld_coffee_button_v2_1111

---
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 coffee-button-v2 environment, sample for the policy coffee-button-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_coffee_button_v2_1111
```

Then, load it with

```python
import numpy as np
dataset = np.load("prj_gia_dataset_metaworld_coffee_button_v2_1111/dataset.npy", allow_pickle=True).item()
print(dataset.keys()) # dict_keys(['observations', 'actions', 'dones', 'rewards'])
```

原始信息汇总

数据集概述

数据集名称

• 名称: prj_gia_dataset_metaworld_coffee_button_v2_1111

数据集标签

• 标签:
  • deep-reinforcement-learning
  • reinforcement-learning
  • gia
  • multi-task
  • multi-modal
  • imitation-learning
  • offline-reinforcement-learning

数据集描述

• 描述: 这是一个针对coffee-button-v2环境的模仿学习环境，样本用于策略coffee-button-v2。

数据集加载方法

• 加载步骤:

  1. 使用Git克隆数据集仓库: sh git clone https://huggingface.co/datasets/qgallouedec/prj_gia_dataset_metaworld_coffee_button_v2_1111

  2. 使用Python加载数据集: python import numpy as np dataset = np.load("prj_gia_dataset_metaworld_coffee_button_v2_1111/dataset.npy", allow_pickle=True).item() print(dataset.keys()) # 输出: dict_keys([observations, actions, dones, rewards])

数据集内容

• 内容: 数据集包含以下键值:
  • observations
  • actions
  • dones
  • rewards