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Routine Bandits: Minimizing Regret on Recurring ProblemsMore specifically, at each period ., the same bandit . is considered during . consecutive time steps, but the identity . is unknown to the learner. We assume all rewards distribution are Gaussian standard. Such a situation typically occurs in recommender systems when a learner may repeatedly serve t