library_name: stable-baselines3 | |
tags: | |
- PandaReachDense-v2 | |
- deep-reinforcement-learning | |
- reinforcement-learning | |
- stable-baselines3 | |
model-index: | |
- name: A2C | |
results: | |
- task: | |
type: reinforcement-learning | |
name: reinforcement-learning | |
dataset: | |
name: PandaReachDense-v2 | |
type: PandaReachDense-v2 | |
metrics: | |
- type: mean_reward | |
value: -0.64 +/- 0.33 | |
name: mean_reward | |
verified: false | |
# **A2C** Agent playing **PandaReachDense-v2** | |
This is a trained model of a **A2C** agent playing **PandaReachDense-v2** | |
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). | |
## Usage (with Stable-baselines3) | |
TODO: Add your code | |
```python | |
from stable_baselines3 import ... | |
from huggingface_sb3 import load_from_hub | |
... | |
``` | |
Panda Gym environments: [arxiv.org/abs/2106.13687](https://arxiv.org/abs/2106.13687) |