2 citations · 2 across the 1 of their papers we have counts for
3 papers
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…
Strategic Selection of Remanufacturing Business Models: A Consumer Perception Perspective
Zhongxin Hu, Christina Imdahl, Zumbul Atan
As a key circular economy strategy, remanufacturing allows original equipment manufacturers (OEMs) to reduce waste by restoring used products to ``as-new'' conditions. This paper i…
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…