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Direct linkYi, Sheng Kung M.; Steyvers, Mark; Lee, Michael – Journal of Problem Solving, 2009
Bandit problems provide an interesting and widely-used setting for the study of sequential decision-making. In their most basic form, bandit problems require people to choose repeatedly between a small number of alternatives, each of which has an unknown rate of providing reward. We investigate restless bandit problems, where the distributions of…
Descriptors: Performance, Decision Making, Problem Solving, Rewards
