26 citations · 28 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide
Tarkan Temizöz, Christina Imdahl, Remco Dijkman +2
Deploying deep reinforcement learning (DRL) in real-world inventory management presents challenges, including dynamic environments and uncertain problem parameters, e.g. demand and…
cs.LG2020★ 26 cited
Deep Controlled Learning for Inventory Control
Tarkan Temizöz, Christina Imdahl, Remco Dijkman +2
The application of Deep Reinforcement Learning (DRL) to inventory management is an emerging field. However, traditional DRL algorithms, originally developed for diverse domains suc…