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

---
id: 5e8f2f13c4cdbe86b5c72da4
title: 'Reinforcement Learning With Q-Learning: Part 2'
challengeType: 11
videoId: DX7hJuaUZ7o
dashedName: reinforcement-learning-with-q-learning-part-2
---

# --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.

## --video-solution--

2