Traditional stochastic inventory models assume full knowledge of the demand probability
distribution. However, in practice, it is often difficult to completely characterize the demand …

Using the well-known Kaplan-Meier estimator from statistics, we propose a new class of
nonparametric adaptive data-driven policies for stochastic inventory control problems. We …

This paper considers a stochastic dynamic inventory problem involving a single item, linear
cost structures, and finite distributions (but not necessarily independent) for the stochastic …

Managing an asset in the presence of exogenous information that evolves over time can be
a challenging task, especially if the information is a multi-dimensional stochastic process …

We develop a framework for obtaining Fully Polynomial Time Approximation Schemes
(FPTASs) for stochastic univariate dynamic programs with either convex or monotone single …