| 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} | |
| ``` | |