| Learning stable deep dynamics models for partially observed or delayed dynamical systems A Schlaginhaufen, P Wenk, A Krause, F Dorfler Advances in Neural Information Processing Systems 34, 11870-11882, 2021 | 16 | 2021 |
| Identifiability and Generalizability in Constrained Inverse Reinforcement Learning A Schlaginhaufen, M Kamgarpour Proceedings of the 40th International Conference on Machine Learning 202, 2023 | 12 | 2023 |
| Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm T Renard, A Schlaginhaufen, T Ni, M Kamgarpour arXiv preprint arXiv:2403.16829, 2024 | 1 | 2024 |
| Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning A Schlaginhaufen, M Kamgarpour arXiv preprint arXiv:2406.01793, 2024 | | 2024 |
| Delayed deep learning for continuous-time dynamical systems A Schlaginhaufen ETH Zurich, 2021 | | 2021 |
| Reinforcement Learning from Human Feedback for the Construction of Spanning Structures S El Amrani, M Kamgarpour, A Schlaginhaufen, A Maddux | | |
| Group ID U14171 M Erkul, M Kamgarpour, AM Maddux, T Ni, R Ouhamma, K Ren, ... | | |
