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

id, challengeType, videoId

id	challengeType	videoId
5e8f2f13c4cdbe86b5c72da5	11	RBBSNta234s

--question--

--text--

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

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

--video-solution--

1

--hints--

--solutions--