3 papers
math.OC2026
A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization
Simon Thomä, Maximilian Schiffer, Wolfram Wiesemann
Multi-stage decision-making under uncertainty, where decisions are taken under sequentially revealing uncertain problem parameters, is often essential to faithfully model manageria…
cs.LG2025
Optimization-Augmented Machine Learning for Vehicle Operations in Emergency Medical Services
Maximiliane RautenstrauÃ, Maximilian Schiffer
Minimizing response times to meet legal requirements and serve patients in a timely manner is crucial for Emergency Medical Service (EMS) systems. Achieving this goal necessitates…
econ.GN2025
Exploring Competitive and Collusive Behaviors in Algorithmic Pricing with Deep Reinforcement Learning
Shidi Deng, Maximilian Schiffer, Martin Bichler
Nowadays, a significant share of the business-to-consumer sector is based on online platforms like Amazon and Alibaba and uses AI for pricing strategies. This has sparked debate on…