Our team was deeply involved in the OR 2024 Conference (September 3-6, 2024, Munich), where they not only presented their research but also volunteered during the event. A special mention goes to our Prof. Maximilian Schiffer, who contributed to the success of the conference as part of the organizing committee. Well done to everyone for their excellent contributions!
Bischoff, P., Hammani, S., Klein, P., & Schiffer, M.: Optimal Deployment of Inductive Charging Segments for Autonomous and Electric Shuttle Services in Rural Areas.
Coppola, A., Hiermann, G., Paccagnan, D., & Schiffer, M.: Integrated Balanced and Staggered Routing in Autonomous Mobility-on-Demand Systems.
Deng, S., Schiffer, M., & Bichler, M.: On the Existence of Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning.
Fan, J., Paccagnan, D., & Schiffer, M.: Congestion-Aware Routing for Intermodal Autonomous Mobility-on-Demand Systems.
Hiermann, G., Lienkamp, B., & Schiffer, M.: Epidemic-Aware Public Transport Network Design.
Hoppe, H., Enders, T., Cappart, Q., & Schiffer, M.: Global Rewards in Hybrid Multi-Agent Deep Reinforcement Learning for Autonomous Mobility-on-Demand Systems.
Jungel, K., Paccagnan, D., Parmentier, A., & Schiffer, M.: Fast and Accurate Approximations of Traffic Equilibria via Structured Learning Pipelines.
Liepold, C. J., & Schiffer, M.: Learning Commissions and Subscription Fees Under Uncertainty in Two-Sided Marketplaces.
Madler, J. M., Rajagopal, R., & Schiffer, M.: DistGridGym: An OpenAI Gym-Like Framework for Intelligent Agents in Decentralized Power Markets.
Nouli, G., Parmentier, A., & Schiffer, M.: Dynamic Pricing for Crowdsourced Delivery Platforms.
Rautenstrauss, M., & Schiffer, M.: Optimizing Ambulance Dispatching and Redeployment: A Structured Learning Approach.
Serrano, B., Jacquillat, A., Minner, S., & Schiffer, M.: Optimizing Ride-Hailing with a Mix of On-Demand and Pre-Booked Customers Under Distributional Shift.
Thomä, S., Wiesemann, W., & Schiffer, M.: Piecewise Affine Decision Rules for Multi-Stage Adjustable Optimization.
Ulusoy Dereli, B., Hiermann, G., & Schiffer, M.: Solving Very Large-Scale Two-Echelon Location Routing Problems in City Logistics.
