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- W3100870608 abstract "This manuscript uses machine learning techniques to exploit baseball pitchers' decision making, so-called Baseball IQ, by modeling the at-bat information, pitch selection and counts, as a Markov Decision Process (MDP). Each state of the MDP models the pitcher's current pitch selection in a Markovian fashion, conditional on the information immediately prior to making the current pitch. This includes the count prior to the previous pitch, his ensuing pitch selection, the batter's ensuing action and the result of the pitch." @default.
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- W3100870608 date "2014-06-01" @default.
- W3100870608 modified "2023-10-17" @default.
- W3100870608 title "MONEYBaRL: Exploiting pitcher decision-making using Reinforcement Learning" @default.
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- W3100870608 doi "https://doi.org/10.1214/13-aoas712" @default.
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