Deng, S.; Schiffer, M.,; Bichler, M.
On the Existence of Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning
WI 2024, Wurzburg
2024

Hiermann, G.; Schiffer, M.
A decomposition-based approach for large-scale pickup and delivery problems
7th EULOG Meeting, Vienna, Austria, 2024
2024

Ulusoy Dereli, B.;Hiermann, G.; Schiffer, M.
Solving Very Large-Scale Two-Echelon Location Routing Problems in City Logistics
OR 2024 Conference, Munich
2024

Thomä, S.; Wiesemann, W.; Schiffer, M.
Piecewise Affine Decision Rules for Multi-Stage Adjustable Optimization
OR 2024 Conference, Munich
2024

Serrano, B.; Jacquillat, A.; Minner, S.; Schiffer, M.
Optimizing Ride-Hailing with a Mix of On-Demand and Pre-Booked Customers Under Distributional Shift
OR 2024 Conference, Munich
2024

Rautenstrauss, M.; Schiffer, M.
Optimizing Ambulance Dispatching and Redeployment: A Structured Learning Approach
OR 2024 Conference, Munich
2024

Nouli, G.; Parmentier, A.; Schiffer, M.
Dynamic Pricing for Crowdsourced Delivery Platforms
OR 2024 Conference, Munich
2024

Madler, J. M.; Rajagopal, R.; Schiffer, M.
DistGridGym: An OpenAI Gym-Like Framework for Intelligent Agents in Decentralized Power Markets
OR 2024 Conference, Munich
2024

Liepold, C. J.; Schiffer, M.
Learning Commissions and Subscription Fees Under Uncertainty in Two-Sided Marketplaces
OR 2024 Conference, Munich
2024

Jungel, K.; Paccagnan, D.; Parmentier, A.; Schiffer, M.
Fast and Accurate Approximations of Traffic Equilibria via Structured Learning Pipelines
OR 2024 Conference, Munich
2024