Schiffer, Maximilian

7 publications

NeurIPS 2025 Structured Reinforcement Learning for Combinatorial Decision-Making Heiko Hoppe, Léo Baty, Louis Bouvier, Axel Parmentier, Maximilian Schiffer

ICLR 2025 WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer

ICLR 2024 Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces Fabian Akkerman, Julius Luy, Wouter van Heeswijk, Maximilian Schiffer

L4DC 2024 Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer

L4DC 2023 Hybrid Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer

AAAI 2023 Optimal Decision Diagrams for Classification Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal

ICML 2020 Born-Again Tree Ensembles Thibaut Vidal, Maximilian Schiffer