5 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 3 cited
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective
A. René Geist, Sebastian Trimpe
Accurate models of mechanical system dynamics are often critical for model-based control and reinforcement learning. Fully data-driven dynamics models promise to ease the process o…
cs.LG2020★ 5 cited
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
A. Rene Geist, Sebastian Trimpe
The identification of the constrained dynamics of mechanical systems is often challenging. Learning methods promise to ease an analytical analysis, but require considerable amounts…