# **DQN** Agent playing **CartPole-v1**
This is a trained model of a **DQN** agent playing **CartPole-v1**.
## Usage
```python
from stable_baselines3 import DQN
model = DQN.load("dqn_cartpole", env=env)
```
## Training:
model.learn(total_timesteps=300000, log_interval=250)
## Evaluation Results
- Mean Reward: 113.60
- Standard Deviation: 9.94
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