1 code implementation • 3 Jul 2023 • Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken
Connecting optimal transport and variational inference, we present a principled and systematic framework for sampling and generative modelling centred around divergences on path space.
1 code implementation • 11 Apr 2023 • Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
Learning skills by imitation is a promising concept for the intuitive teaching of robots.
1 code implementation • 27 Mar 2023 • Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann
Imitation learning uses data for training policies to solve complex tasks.