freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-example.chinese.md

id, title, challengeType, isHidden, videoId

id	title	challengeType	isHidden	videoId
5e8f2f13c4cdbe86b5c72da5	Reinforcement Learning With Q-Learning: Example	11	false	RBBSNta234s

Description

Tests

question:
  text: |
    Fill in the blanks to complete the following Q-Learning equation:

    ```py
    Q[__A__, __B__] = Q[__A__, __B__] + LEARNING_RATE * (reward + GAMMA * np.max(Q[__C__, :]) - Q[__A__, __B__])
    ```

  answers:
    - |
      A: `state`

      B: `action`

      C: `next_state`
    - |
      A: `state`

      B: `action`

      C: `prev_state`
    - |
      A: `state`

      B: `reaction`

      C: `next_state`
  solution: 1