MONEYBaRL: Exploiting pitcher decision-making using Reinforcement Learning

31 Jul 2014 Gagan Sidhu Brian Caffo

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... (read more)

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