--- id: 5e8f2f13c4cdbe86b5c72da5 title: 'Reinforcement Learning With Q-Learning: Example' challengeType: 11 videoId: RBBSNta234s --- ## Description
## Tests
```yml 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 ```