A comparative study of Prophet, Random Forest/Gradient Boosting, and DQN on three supermarket inventory models, whose favorable DRL conclusion is contradicted by its own training curves.
Supermarket policies on less-healthy food at checkouts: natural experimental evaluation using interrupted time series analyses of purchases
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A Study of Data-driven Methods for Inventory Optimization
A comparative study of Prophet, Random Forest/Gradient Boosting, and DQN on three supermarket inventory models, whose favorable DRL conclusion is contradicted by its own training curves.