Andreas Schlaginhaufen

According to our database, Andreas Schlaginhaufen authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design.

Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour

CoRR, June, 2025

2024

Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning.

Andreas Schlaginhaufen, Maryam Kamgarpour

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm.

Titouan Renard, Andreas Schlaginhaufen, Tingting Ni, Maryam Kamgarpour

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Identifiability and Generalizability in Constrained Inverse Reinforcement Learning.

Andreas Schlaginhaufen, Maryam Kamgarpour

Proceedings of the International Conference on Machine Learning, 2023

2021

Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems.

Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021