papers
Publications (2)
cs.LG2025
Node-Level Financial Optimization in Demand Forecasting Through Dynamic Cost Asymmetry and Feedback Mechanism
Alessandro Casadei, Clemens Grupp, Sreyoshi Bhaduri +6
This work introduces a methodology to adjust forecasts based on node-specific cost function asymmetry. The proposed model generates savings by dynamically incorporating the cost as…
cs.LG2025
OpComm: A Reinforcement Learning Framework for Adaptive Buffer Control in Warehouse Volume Forecasting
Wilson Fung, Lu Guo, Drake Hilliard +11
Accurate forecasting of package volumes at delivery stations is critical for last-mile logistics, where errors lead to inefficient resource allocation, higher costs, and delivery d…