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Reinforcement Learning With Q-Learning: Part 2

curriculum/challenges/english/blocks/tensorflow/5e8f2f13c4cdbe86b5c72da4.md

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--questions--

--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--

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