John C. Gittins is known primarily for his work in statistics and decision theory. He is most famous for the Gittins index, which is a method used in multi-armed bandit problems and other decision-making scenarios involving dynamic allocation of resources under uncertainty. The Gittins index provides a way to rank choices based on potential future rewards, making it a valuable tool in fields such as economics, operations research, and machine learning.
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