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The document discusses the problem of Bernoulli one-armed bandits with arbitrary discount sequences, focusing on strategies for maximizing expected payoffs from two arms generating Bernoulli random variables. It presents a characterization of optimal strategies and explores the implications of regular discount sequences on decision-making processes. The authors provide theoretical results and examples to illustrate the complexities of balancing immediate success with future information acquisition in sequen

Author

KG

Language

EN