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By Sara Smoot, Alex Contryman and Yanqiao WangLyft hosts a dynamic marketplace connecting millions of people to a robust transportation network. In order to offer high value and quality service for both riders and drivers we need to make complex optimization decisions in near-real time. The environment can change quickly with traffic, events and weather, making these decisions even more challenging.We have employed multi-arm bandits (MAB) algorithms, a common machine learning method for decision...