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Re:Reinforcement Learning – Bandit Problems by nabla9 on Monday May 07, 2018 @07:29AM (#17011877)
Consider any arm not pulled is "a new arm". A growing set of arms is similar to case where k >> T. This creates innovate vs. exploit problem. The learner must choose between exploiting what it already knows and searching for better rewards.

Variations of this scheme include exploit vs. copy vs. innovate used in computational biology. Learning agent can copy what others do or innovate and try something new.

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