2 papers
cs.LG2026
DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
Yaqi Xie, Xinru Hao, Jiaxi Liu +4
Deep Reinforcement Learning (DRL) provides a general-purpose methodology for training inventory policies that can leverage big data and compute. However, off-the-shelf implementati…
cs.LG2024
A Deep Q-Network Based on Radial Basis Functions for Multi-Echelon Inventory Management
Liqiang Cheng, Jun Luo, Weiwei Fan +2
This paper addresses a multi-echelon inventory management problem with a complex network topology where deriving optimal ordering decisions is difficult. Deep reinforcement learnin…