In my previous article, I modeled the choice between a stable veteran and a promising but unproven rookie as a "multi-armed bandit" problem. To solve it, I devised an algorithm that computes the expected value of each choice and discovered that provisionally starting the rookie usually yields a greater expectation.
Baseball Prospectus
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