A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning
Hany Abdulsamad,Peter Nickl,Pascal Klink,Jan Peters,Hany Abdulsamad,Peter Nickl,Pascal Klink,Jan Peters
Probabilistic regression techniques in control and robotics applications have to fulfill different criteria of data-driven adaptability, computational efficiency, scalability to high dimensions, and the capacity to deal with different modalities in the data. Classical regressors usually fulfill only a subset of these properties. In this work, we extend seminal work on Bayesian nonparametric mixtur...
