The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. - Gregor H. W. Gebhardt; Andras Gabor Kupcsik; Gerhard Neumann (AAAI, 2017)

Learning to Assemble Objects with a Robot Swarm. - Gregor H. W. Gebhardt; Kevin Daun; Marius Schnaubelt; Alexander Hendrich; Daniel Kauth; Gerhard Neumann (AAMAS, 2017)

Learning Robust Policies for Object Manipulation with Robot Swarms. - Gregor H. W. Gebhardt; Kevin Daun; Marius Schnaubelt; Gerhard Neumann (ICRA, 2018)

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. - Philipp Becker; Harit Pandya; Gregor H. W. Gebhardt; Cheng Zhao 002; C. James Taylor; Gerhard Neumann (ICML, 2019)

The kernel Kalman rule - Efficient nonparametric inference by recursive least-squares and subspace projections. - Gregor H. W. Gebhardt; Andras Gabor Kupcsik; Gerhard Neumann (Mach. Learn., 2019)

Using Mean Embeddings for State Estimation and Reinforcement Learning. - Gregor H. W. Gebhardt (2019)

Socially competent robots: adaptation improves leadership performance in groups of live fish. - Tim Landgraf; Hauke J. Mönck; Gregor H. W. Gebhardt; Nils Weimar; Mathis Hocke; Moritz Maxeiner; Lea Musiolek; Jens Krause; David Bierbach (CoRR, 2020)

Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups. - Tim Landgraf; Gregor H. W. Gebhardt; David Bierbach; Pawel Romanczuk; Lea Musiolek; Verena V. Hafner; Jens Krause (Annu. Rev. Control. Robotics Auton. Syst., 2021)