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Exploration/Exploitation trade-off
It is very challenging in the reinforcement learning to find a perfect balance between using previously used effective action(exploitation) and exploring new ones (exploration).
In order to solve this problem, simple -Greedy algorithm can be used, in which we with some small probability we would select action randomly (exploration) and with $1 - \epsilon$ probability use previously selected effective action(exploitation).
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