Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics

Hany Abdulsamad, Peter Nickl, Pascal Klink +1

Well-calibrated probabilistic regression models are a crucial learning component in robotics applications as datasets grow rapidly and tasks become more complex. Unfortunately, cla…