---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3-trained
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: Taxi-v3
      type: Taxi-v3
    metrics:
    - type: mean_reward
      value: 7.56 +/- 2.71
      name: mean_reward
      verified: false
---

 **Q-Learning** Agent playing **Taxi-v3**

This is a trained **Q-Learning** agent for **Taxi-v3**.

## Usage

```python
import json
import numpy as np
import gym

qtable = np.load("qtable.npy")

with open("config.json") as f:
    config = json.load(f)

env = gym.make(config["env_id"])
model = {**config, "qtable": qtable}
  ```