Schaffernicht, Erik

5 publications

NeurIPS 2025 Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems Alan Lahoud, Erik Schaffernicht, Johannes A. Stork

CoRL 2025 ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning Rahel Rickenbach, Alan Lahoud, Erik Schaffernicht, Melanie Zeilinger, Johannes A. Stork

UAI 2024 DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context Alan Lahoud, Erik Schaffernicht, Johannes Stork

ICLR 2024 Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork

JAIR 2018 Data-Driven Conceptual Spaces: Creating Semantic Representations for Linguistic Descriptions of Numerical Data Hadi Banaee, Erik Schaffernicht, Amy Loutfi