Maximilian Schiffer

According to our database, Maximilian Schiffer authored at least 53 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Designing tractable piecewise affine policies for multi-stage adjustable robust optimization.

Simon Thomä, Grit Walther, Maximilian Schiffer

Math. Program., November, 2024

On the Interplay Between Self-Driving Cars and Public Transportation.

Nicolas Lanzetti, Maximilian Schiffer, Michael Ostrovsky, Marco Pavone

IEEE Trans. Control. Netw. Syst., September, 2024

Column generation for solving large scale multi-commodity flow problems for passenger transportation.

Benedikt Lienkamp, Maximilian Schiffer

Eur. J. Oper. Res., April, 2024

Robust Charging Network Planning for Metropolitan Taxi Fleets.

Gregor Godbersen, Rainer Kolisch, Maximilian Schiffer

Transp. Sci., 2024

Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows.

Léo Baty, Kai Jungel, Patrick S. Klein, Axel Parmentier, Maximilian Schiffer

Transp. Sci., 2024

<tt>RoutingBlocks</tt>: An Open-Source Python Package for Vehicle Routing Problems with Intermediate Stops.

Patrick S. Klein, Maximilian Schiffer

INFORMS J. Comput., 2024

Bilevel optimization for feature selection in the data-driven newsvendor problem.

Breno Serrano, Stefan Minner, Maximilian Schiffer, Thibaut Vidal

Eur. J. Oper. Res., 2024

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning.

Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer

CoRR, 2024

A decomposition-based approach for large-scale pickup and delivery problems.

Gerhard Hiermann, Maximilian Schiffer

CoRR, 2024

Multi-Agent Soft Actor-Critic with Global Loss for Autonomous Mobility-on-Demand Fleet Control.

Zeno Woywood, Jasper I. Wiltfang, Julius Luy, Tobias Enders, Maximilian Schiffer

CoRR, 2024

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts.

Tobias Enders, James Harrison, Maximilian Schiffer

CoRR, 2024

Contextual Stochastic Vehicle Routing with Time Windows.

Breno Serrano, Alexandre M. Florio, Stefan Minner, Maximilian Schiffer, Thibaut Vidal

CoRR, 2024

The Impact of Partial Production Capacity Sharing via Production as a Service.

Christina J. Liepold, Okan Arslan, Gilbert Laporte, Maximilian Schiffer

Comput. Oper. Res., 2024

Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems.

Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces.

Fabian Akkerman, Julius Luy, Wouter van Heeswijk, Maximilian Schiffer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Smart and sustainable city logistics: Design, consolidation, and regulation.

Pirmin Fontaine, Stefan Minner, Maximilian Schiffer

Eur. J. Oper. Res., June, 2023

Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements.

Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone

INFORMS J. Comput., 2023

Strategic Workforce Planning in Crowdsourced Delivery with Hybrid Driver Fleets.

Julius Luy, Gerhard Hiermann, Maximilian Schiffer

CoRR, 2023

Ambulance Demand Prediction via Convolutional Neural Networks.

Maximiliane Rautenstrauß, Maximilian Schiffer

CoRR, 2023

Handling Large Discrete Action Spaces via Dynamic Neighborhood Construction.

Fabian Akkerman, Julius Luy, Wouter van Heeswijk, Maximilian Schiffer

CoRR, 2023

Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control.

Kai Jungel, Axel Parmentier, Maximilian Schiffer, Thibaut Vidal

CoRR, 2023

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems.

Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer

Proceedings of the Learning for Dynamics and Control Conference, 2023

Optimal Decision Diagrams for Classification.

Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Large Neighborhood Search for the Vehicle Routing Problem with Multiple Time Windows.

Hendrik Schaap, Maximilian Schiffer, Michael Schneider, Grit Walther

Transp. Sci., 2022

Electric Vehicle Charging Station Search in Stochastic Environments.

Marianne Guillet, Gerhard Hiermann, Alexander Kröller, Maximilian Schiffer

Transp. Sci., 2022

Optimal Picking Policies in E-Commerce Warehouses.

Maximilian Schiffer, Nils Boysen, Patrick S. Klein, Gilbert Laporte, Marco Pavone

Manag. Sci., 2022

Technical Note - Online Hypergraph Matching with Delays.

Marco Pavone, Amin Saberi, Maximilian Schiffer, Matt Wu Tsao

Oper. Res., 2022

A General Branch-and-Cut Framework for Rotating Workforce Scheduling.

Tristan Becker, Maximilian Schiffer, Grit Walther

INFORMS J. Comput., 2022

Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts.

Ítalo Santana, Breno Serrano, Maximilian Schiffer, Thibaut Vidal

CoRR, 2022

Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach.

Marianne Guillet, Maximilian Schiffer

CoRR, 2022

Electric vehicle charge scheduling with flexible service operations.

Patrick Sean Klein, Maximilian Schiffer

CoRR, 2022

2021

On the Interaction Between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach.

Alvaro Estandia, Maximilian Schiffer, Federico Rossi, Justin Luke, Emre Can Kara, Ram Rajagopal, Marco Pavone

IEEE Trans. Control. Netw. Syst., 2021

Integrated planning for electric commercial vehicle fleets: A case study for retail mid-haul logistics networks.

Maximilian Schiffer, Patrick S. Klein, Gilbert Laporte, Grit Walther

Eur. J. Oper. Res., 2021

Online Traffic Routing: Deterministic Limits and Data-driven Enhancements.

Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone

CoRR, 2021

The Customer is Always Right: Customer-Centered Pooling for Ride-Hailing Systems.

Paul Karaenke, Maximilian Schiffer, Stefan Waldherr

CoRR, 2021

A Concise Guide on the Integration of Battery Electric Buses into Urban Bus Networks.

Nicolas Dirks, Dennis Wagner, Maximilian Schiffer, Grit Walther

CoRR, 2021

On the Integration of Battery Electric Buses into Urban Bus Networks.

Nicolas Dirks, Maximilian Schiffer, Grit Walther

CoRR, 2021

2020

Intermodal Autonomous Mobility-on-Demand.

Mauro Salazar, Nicolas Lanzetti, Federico Rossi, Maximilian Schiffer, Marco Pavone

IEEE Trans. Intell. Transp. Syst., 2020

Value-based production planning in non-ferrous metal industries: Application in the copper industry.

Michel Siemon, Maximilian Schiffer, Sumit Mitra, Grit Walther

IISE Trans., 2020

Born-Again Tree Ensembles.

Thibaut Vidal, Toni Pacheco, Maximilian Schiffer

CoRR, 2020

Online Hypergraph Matching with Delays.

Marco Pavone, Amin Saberi, Maximilian Schiffer, Matthew Tsao

Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Born-Again Tree Ensembles.

Thibaut Vidal, Maximilian Schiffer

Proceedings of the 37th International Conference on Machine Learning, 2020

A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems.

Felix Boewing, Maximilian Schiffer, Mauro Salazar, Marco Pavone

Proceedings of the 2020 American Control Conference, 2020

2019

Vehicle Routing and Location Routing with Intermediate Stops: A Review.

Maximilian Schiffer, Michael Schneider, Grit Walther, Gilbert Laporte

Transp. Sci., 2019

Minimization of Weighted Completion Times in Path-based Coflow Scheduling.

Alexander Eckl, Luisa Peter, Maximilian Schiffer, Susanne Albers

CoRR, 2019

On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach.

Alvaro Estandia, Maximilian Schiffer, Federico Rossi, Emre Can Kara, Ram Rajagopal, Marco Pavone

CoRR, 2019

A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand.

Jannik Zgraggen, Matthew Tsao, Mauro Salazar, Maximilian Schiffer, Marco Pavone

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems.

Mauro Salazar, Matthew Tsao, Izabel Aguiar, Maximilian Schiffer, Marco Pavone

Proceedings of the 17th European Control Conference, 2019

2018

An Adaptive Large Neighborhood Search for the Location-routing Problem with Intra-route Facilities.

Maximilian Schiffer, Grit Walther

Transp. Sci., 2018

Designing sustainable mid-haul logistics networks with intra-route multi-resource facilities.

Maximilian Schiffer, Michael Schneider, Gilbert Laporte

Eur. J. Oper. Res., 2018

Logistics Networks with Intermediate Stops: Designing Innovative and Green Solutions.

Maximilian Schiffer

Proceedings of the Operations Research Proceedings 2018, 2018

On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems.

Mauro Salazar, Federico Rossi, Maximilian Schiffer, Christopher Harald Onder, Marco Pavone

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

The electric location routing problem with time windows and partial recharging.

Maximilian Schiffer, Grit Walther

Eur. J. Oper. Res., 2017