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

id	challengeType	videoId
5e8f2f13c4cdbe86b5c72da4	11	DX7hJuaUZ7o

--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

--hints--

--solutions--