Develops a new offline RL algorithm for functional actions to learn optimal personalized daily step distributions from All of Us observational data that reduce cardiometabolic risk.
Tudor-Locke and D
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Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions
Develops a new offline RL algorithm for functional actions to learn optimal personalized daily step distributions from All of Us observational data that reduce cardiometabolic risk.