Gaussian processes for dynamics learning in model predictive control

Anna Scampicchio, Elena Arcari, Amon Lahr +1

Due to its state-of-the-art estimation performance complemented by rigorous and non-conservative uncertainty bounds, Gaussian process regression is a popular tool for enhancing dyn…