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Output-Sampled Model Predictive Path Integral Control (o-MPPI) for Increased Efficiency
The success of the model predictive path integral control (MPPI) approach depends on the appropriate selection of the input distribution used for sampling.
Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017
Extensive post-modeling investigation is conducted in a comparative manner between 2009 and 2017, including quantifying the importance of each input variable in predicting online shopping demand, and characterizing value-dependent relationships between demand and the input variables.
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach
In this study, we take a design-science perspective to propose a recommendation framework that helps users to select healthcare interventions.
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