2 papers
cs.LG2026
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.AI2025
Automated decision-making for dynamic task assignment at scale
Riccardo Lo Bianco, Willem van Jaarsveld, Jeroen Middelhuis +2
The Dynamic Task Assignment Problem (DTAP) concerns matching resources to tasks in real time while minimizing some objectives, like resource costs or task cycle time. In this work,…