Moritz Reuss
- PhD Researcher
- Large Pretrained Models, Diffusion, Learning from Demonstrations
- Office Hours: by appointment
- Room: 425
- moritz reuss ∂does-not-exist.kit edu
(50.19) InformatiKOM
Adenauerring 12
76131 Karlsruhe
Publications
2024
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills
Blessing, D.; Celik, O.; Jia, X.; Reuss, M.; Li, M.; Lioutikov, R.; Neumann, G.
2024. Advances in Neural Information Processing Systems. Ed.: A. Oh, MIT-Press
Blessing, D.; Celik, O.; Jia, X.; Reuss, M.; Li, M.; Lioutikov, R.; Neumann, G.
2024. Advances in Neural Information Processing Systems. Ed.: A. Oh, MIT-Press
2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Reuss, M.; Li, M.; Jia, X.; Lioutikov, R.
2023. arxiv. doi:10.48550/arXiv.2304.02532
Reuss, M.; Li, M.; Jia, X.; Lioutikov, R.
2023. arxiv. doi:10.48550/arXiv.2304.02532
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts
Blessing, D.; Celik, O.; Jia, X.; Reuss, M.; Li, M. X.; Lioutikov, R.; Neumann, G.
2023. arxiv. doi:10.48550/arXiv.2303.15349
Blessing, D.; Celik, O.; Jia, X.; Reuss, M.; Li, M. X.; Lioutikov, R.; Neumann, G.
2023. arxiv. doi:10.48550/arXiv.2303.15349
2022
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
Reuss, M.; Duijkeren, N. van; Krug, R.; Becker, P.; Shaj, V.; Neumann, G.
2022. Robotics: Science and Systems XVIII. Ed.: K. Hauser. doi:10.48550/arXiv.2205.13804
Reuss, M.; Duijkeren, N. van; Krug, R.; Becker, P.; Shaj, V.; Neumann, G.
2022. Robotics: Science and Systems XVIII. Ed.: K. Hauser. doi:10.48550/arXiv.2205.13804