most citedA Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy

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math.OC2025

Learning When to Restart: Nonstationary Newsvendor from Uncensored to Censored Demand

Xin Chen, Jiameng Lyu, Shilin Yuan +1

We study nonstationary newsvendor problems under nonparametric demand models and general distributional measures of nonstationarity, addressing the practical challenges of unknown…

math.OC2024★ 2 cited

A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy

Jiameng Lyu, Jinxing Xie, Shilin Yuan +1

Stochastic gradient descent (SGD) has proven effective in solving many inventory control problems with demand learning. However, it often faces the pitfall of an infeasible target…