freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/reinforcement-learning-with-q-learning-part-2.md

---
id: 5e8f2f13c4cdbe86b5c72da4
challengeType: 11
videoId: DX7hJuaUZ7o
---

## Description

<section id='description'>
</section>

## Tests

<section id='tests'>

```yml
question:
  text: |
    What can happen if the agent does not have a good balance of taking random actions and using learned actions?
  answers:
    - |
      The agent will always try to minimize its reward for the current state/action, leading to local minima.
    - |
      The agent will always try to maximize its reward for the current state/action, leading to local maxima.
  solution: 2
```

</section>