readme: ---
  tags:
  - Taxi-v3
  - q-learning
  - reinforcement-learning
  - custom-implementation
  model-index:
  - name: q-Taxi-v3
    results:
    - metrics:
      - type: mean_reward
        value: 7.54 +/- 2.73
        name: mean_reward
      task:
        type: reinforcement-learning
        name: reinforcement-learning
      dataset:
        name: Taxi-v3
        type: Taxi-v3
  ---
  
        # 使用**Q-Learning**智能体来玩**Taxi-v3**
        这是一个使用**Q-Learning**训练有素的模型玩**Taxi-v3**.
        
        ## 用法
        ```python
        model = load_from_hub(repo_id='sun1638650145/q-Taxi-v3', filename='q-learning.pkl')
  
        # 不要忘记检查是否需要添加额外的参数(例如is_slippery=False)
        env = gym.make(model['env_id'])
  
        evaluate_agent(env, model['max_steps'], model['n_eval_episodes'], model['qtable'], model['eval_seed'])
        
        ```
        