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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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