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# **Q-Learning** Agent playing **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3**.

## Usage

```python
import json

# Load the model
with open('q-learning.json', 'r') as f:
    model = json.load(f)

# Create the environment
env = gym.make(model["env_id"])
```
{
    "tags": [
        "Taxi-v3",
        "q-learning",
        "reinforcement-learning",
        "custom-implementation"
    ],
    "metrics": {
        "task": "reinforcement-learning",
        "metrics": {
            "name": "mean_reward",
            "value": "7.54 +/- 2.69"
        }
    }
}
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