---
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)
```