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Deploying Exp3 to Stochastic MAB Stochastic MAB is a special case of Adversarial MAB Directly deploying Exp3 for stochastic MAB achieves Theorem1.Suppose that∀t∈[T]andi∈[K],0≤Lt()≤l,then Exp3with learning raten=(In K)/(TK)guarantees EfRegretr=E) where the expectation is taken on the randomness of the algorithm. Not yet exploit benign stochastic assumption....instance-dependent analysis Advanced Optimization(Fall 2023) Lecture 12.Stochastic Bandits 5Advanced Optimization (Fall 2023) Lecture 12. Stochastic Bandits 5 • Stochastic MAB is a special case of Adversarial MAB Deploying Exp3 to Stochastic MAB Directly deploying Exp3 for stochastic MAB achieves Not yet exploit benign stochastic assumption…. instance-dependent analysis
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