tags: | |
- Taxi-v3 | |
- q-learning | |
- reinforcement-learning | |
- custom-implementation | |
model-index: | |
- name: DeepRL | |
results: | |
- task: | |
type: reinforcement-learning | |
name: reinforcement-learning | |
dataset: | |
name: Taxi-v3 | |
type: Taxi-v3 | |
metrics: | |
- type: mean_reward | |
value: 7.56 +/- 2.71 | |
name: mean_reward | |
verified: false | |
# **A2C** Agent playing **HalfCheetahBulletEnv-v0** | |
This is a trained model of a **A2C** agent playing **HalfCheetahBulletEnv-v0** | |
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 | |
... | |
``` | |