Generative models on accelerated neuromorphic hardware. - Ákos F. Kungl; Sebastian Schmitt; Johann Klähn; Paul Müller 002; Andreas Baumbach; Dominik Dold; Alexander Kugele; Nico Gürtler; Luziwei Leng; Eric Müller 001; Christoph Koke; Mitja Kleider; et al. (CoRR, 2018)

Hierarchical Reinforcement Learning with Timed Subgoals. - Nico Gürtler; Dieter Büchler; Georg Martius (NeurIPS, 2021)

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. - Nico Gürtler; Felix Widmaier; Cansu Sancaktar; Sebastian Blaes; Pavel Kolev; Stefan Bauer; Manuel Wüthrich; Markus Wulfmeier; Martin A. Riedmiller; Arthur Allshire; Qiang Wang; Robert McCarthy; et al. (NeurIPS (Competition and Demos), 2021)

Direct Advantage Estimation. - Hsiao-Ru Pan; Nico Gürtler; Alexander Neitz; Bernhard Schölkopf (NeurIPS, 2022)

Improving Behavioural Cloning with Positive Unlabeled Learning. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Francisco Roldan Sanchez; Nico Gürtler; Felix Widmaier; Stephen J. Redmond (CoRL, 2023)

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. - Nico Gürtler; Sebastian Blaes; Pavel Kolev; Felix Widmaier; Manuel Wuthrich; Stefan Bauer; Bernhard Schölkopf; Georg Martius (ICLR, 2023)

AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation. - Alexander Dittrich; Jan Schneider 007; Simon Guist; Nico Gürtler; Heiko Ott; Thomas Steinbrenner; Bernhard Schölkopf; Dieter Büchler (ICRA, 2023)

Zero-Shot Offline Imitation Learning via Optimal Transport. - Thomas Rupf; Marco Bagatella; Nico Gürtler; Jonas Frey; Georg Martius (CoRR, 2024)

A Smooth Analytical Formulation of Collision Detection and Rigid Body Dynamics With Contact. - Onur Beker; Nico Gürtler; Ji Shi; Andreas Rene Geist; Amirreza Razmjoo; Georg Martius; Sylvain Calinon (CoRR, 2025)