2020
Variational Auto-Regularized Alignment for Sim-to-Real Control
ICRA 2020poster
General-purpose simulators can be a valuable data source for flexible learning and control approaches. However, training models or control policies in simulation and then directly applying to hardware can yield brittle control. Instead, we propose a novel way to use simulators as regularizers. Our a…