Schlaginhaufen, Andreas

5 publications

NeurIPS 2025 Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour

NeurIPS 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen, Maryam Kamgarpour

ICMLW 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen, Maryam Kamgarpour

ICML 2023 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen, Maryam Kamgarpour

NeurIPS 2021 Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dorfler