Game-solving algorithms using no-regret learners achieve non-asymptotic optimality guarantees for pure exploration in exponential family bandits.
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Non-Asymptotic Pure Exploration by Solving Games
Game-solving algorithms using no-regret learners achieve non-asymptotic optimality guarantees for pure exploration in exponential family bandits.