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…
stat.ML2026
VC Theory for Inventory Policies
Yaqi Xie, Will Ma, Linwei Xin
There has been growing interest in applying reinforcement learning (RL) to inventory management, either by optimizing over temporal transitions or by learning directly from full hi…