Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
Eric Heiden,Christopher E. Denniston,David Millard,Fabio Ramos,Gaurav S. Sukhatme,Eric Heiden,Christopher E. Denniston,David Millard,Fabio Ramos,Gaurav S. Sukhatme
Reproducing real world dynamics in simulation is critical for the development of new control and perception methods. This task typically involves the estimation of simu-lation parameter distributions from observed rollouts through an inverse inference problem characterized by multi-modality and skewed distributions. We address this challenging problem through a novel Bayesian inference approach th...
