Thoma S.; Schiffer M.; Wisemann W.
A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization
2024

Liepold C.; Amorim P.; Schiffer M.
Mitigating Retail Platform Externalities via Inter-Supplier Returns
2024

Jungel K.; Paccagnan D.; Parmentier A.; Schiffer M.
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
2024

Mölter, J.; Ji, J.; Lienkamp, B.; Zhang, Q.; Moreno, A. T.; Schiffer, M.; Moeckel, R.; Kuehn, C.
Public transport across models and scales: A case study of the Munich network
PNAS Nexus
2024
3
11

Lienkamp, B.; Hewitt, M.; Schiffer, M.
Branch and Price for the Stochastic Traveling Salesman Problem with Generalized Latency
Transportation Science
2024

Alexander Pahr, Martin Grunow
Managing Ameliorating Food Inventory Using Deep Reinforcement Learning
International Society for Inventory Research 2023 Summer School
Cardiff
2023

Alexander Pahr, Martin Grunow
The Value of Blending – Managing Ameliorating Food Inventory Using Deep Reinforcement Learning
8th Stochastic Modelling Meeting, Milan
2024

Anna Kolemesina, Alexander Pahr, Martin Grunow
Deep Reinforcement Learning for Aging Cheese Inventory Management
International Conference on Operations Research
2024

Alexander Pahr, Martin Grunow, Pedro Amorim
Learning from the Aggregated Optimum: Managing Port Wine Inventory in the Face of Climate Risks
European Journal of Operational Research
2024

Samuel Schott
Deep Reinforcement Learning for Perishable Inventory Management
2023