1 code implementation • 22 Feb 2021 • Andreas Hochlehnert, Alexander Terenin, Steindór Sæmundsson, Marc Peter Deisenroth
Learning physically structured representations of dynamical systems that include contact between different objects is an important problem for learning-based approaches in robotics.
1 code implementation • NeurIPS 2020 • Jean Kaddour, Steindór Sæmundsson, Marc Peter Deisenroth
However, this setting does not take into account the sequential nature that naturally arises when training a model from scratch in real-life: how do we collect a set of training tasks in a data-efficient manner?
no code implementations • 20 Mar 2018 • Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth
Learning from small data sets is critical in many practical applications where data collection is time consuming or expensive, e. g., robotics, animal experiments or drug design.