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---
library_name: stable-baselines3
tags:
- Ant-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: SAC
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Ant-v4
type: Ant-v4
metrics:
- type: mean_reward
value: 5635.13 +/- 88.03
name: mean_reward
verified: false
---
# **SAC** Agent playing **Ant-v4**
This is a trained model of a **SAC** agent playing **Ant-v4**
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 SAC
from huggingface_sb3 import load_from_hub
checkpoint = load_from_hub(
repo_id="jren123/sac-ant-v4",
filename="SAC-Ant-v4.zip",
)
model = SAC.load(checkpoint)
```
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