Andreas Schlaginhaufen
EPFL STI IGM SYCAMORE
ME C1 402 (Bâtiment ME)
Station 9
1015 Lausanne
+41 21 693 07 61
Office: ME C1 402
EPFL › STI › IGM › SYCAMORE
Site web: https://www.epfl.ch/labs/sycamore
Publications représentatives
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Andreas Schlaginhaufen, Maryam Kamgarpour
Published in Advances in Neural Information Processing Systems 38 (NeurIPS 2024) in
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
Titouan Renard*, Andreas Schlaginhaufen*, Tingting Ni*, Maryam Kamgarpour
Published in The 63rd IEEE Conference on Decision and Control (CDC 2024). in
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Andreas Schlaginhaufen, Maryam Kamgarpour
Published in Proceedings of the 40th International Conference on Machine Learning (ICML 2023) in
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
Published in Advances in Neural Information Processing Systems 35 (NeurIPS 2021) in