- E-Mail:
- hans.harder@uni-paderborn.de
- Phone:
- +49 5251 60-4930
- Office Address:
-
Pohlweg 51
33098 Paderborn - Room:
- O4.119
Publications
Latest Publications
Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
H. Harder, S. Peitz, (n.d.).
On the continuity and smoothness of the value function in reinforcement learning and optimal control
H. Harder, S. Peitz, (2024).
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325 (2023).
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