20 citations · 25 across the 3 of their papers we have counts for
3 papers
Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
Francesco Stranieri, Chaaben Kouki, Willem van Jaarsveld +1
We study inventory control policies for pharmaceutical supply chains, addressing challenges such as perishability, yield uncertainty, and non-stationary demand, combined with batch…
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains
Francesco Stranieri, Fabio Stella
In this study, we analyze and compare the performance of state-of-the-art deep reinforcement learning algorithms for solving the supply chain inventory management problem. This com…
Hard and Soft EM in Bayesian Network Learning from Incomplete Data
Andrea Ruggieri, Francesco Stranieri, Fabio Stella +1
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their grap…