Gregor H. W. Gebhardt
Gregor H. W. Gebhardt
Nuromedia GmbH
No verified email
Title
Cited by
Cited by
Year
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
P Becker, H Pandya, GHW Gebhardt, C Zhao, J Taylor, G Neumann
arXiv preprint arXiv:1905.07357, 2019
312019
Learning Robust Policies for Object Manipulation with Robot Swarms
GHW Gebhardt, K Daun, M Schnaubelt, G Neumann
Proceedings of the IEEE International Conference on Robotics and Automation, 2018
202018
The Kernel Kalman Rule–Efficient Nonparametric Inference with Recursive Least Squares
GHW Gebhardt, A Kupcsik, G Neumann
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017
102017
Learning to Assemble Objects with a Robot Swarm
GHW Gebhardt, K Daun, M Schnaubelt, A Hendrich, D Kauth, G Neumann
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017
62017
Nitrogen excretion in growing poultry on a nitrogen-free diet
M Hoffmann, G Gebhardt
Archiv fur Tierernahrung 23 (4), 273-289, 1973
61973
Animal-in-the-loop: Using interactive robotic conspecifics to study social behavior in animal groups
T Landgraf, GHW Gebhardt, D Bierbach, P Romanczuk, L Musiolek, ...
Annual Review of Control, Robotics, and Autonomous Systems 4, 487-507, 2021
52021
The kernel Kalman rule
GHW Gebhardt, A Kupcsik, G Neumann
Machine Learning 108 (12), 2113-2157, 2019
52019
Learning Subspace Conditional Embedding Operators
GHW Gebhardt, A Kupcsik, G Neumann
Workshop on Large-Scale Kernel Learning at ICML, 2015
42015
Socially competent robots: adaptation improves leadership performance in groups of live fish
T Landgraf, HJ Moenck, GHW Gebhardt, N Weimar, M Hocke, M Maxeiner, ...
arXiv preprint arXiv:2009.06633, 2020
22020
Using M-Embeddings to Learn Control Strategies for Robot Swarms
GHW Gebhardt, M Hüttenrauch, G Neumann
2*
Using mean embeddings for state estimation and reinforcement learning
GHW Gebhardt
Technische Universität, 2019
12019
The Kilobot Gym
GHW Gebhardt, G Neumann
ICRA 2018 Workshop, 2018
12018
Amino acid requirements of broilers depending on yield, age and sex
M Hoffmann, G Gebhardt
Archiv fur Tierernahrung 23 (9), 763-781, 1973
11973
Maximales N-Retentionsvermogen bei Kalbern
PJ Leitner, G Gebhardt
Leipzig Karl marx univ Wiss Z, 1971
11971
Robust Multisensor Fusion for Reliable Mapping and Navigation in Degraded Visual Conditions
K Daun, M Schnaubelt, S Kohlbrecher, O von Stryk, JC Bayona, J Günther, ...
Annu. Rev. Control Robot. Auton. Syst 3, 16.1-16.31, 2020
2020
Robust learning of object assembly tasks with an invariant representation of robot swarms
GHW Gebhardt, K Daun, M Schnaubelt, G Neumann
2018
Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces
GHW Gebhardt
Intelligent Autonomous Systems, Technische Universität Darmstadt, 2014
2014
Learning Symbols for Hierarchical Control from Interaction: Controllability Control
GHW Gebhardt
Department of Computer Science, Freie Universität Berlin, 2011
2011
maximale Stickstoff-Retentionsvermogen bei wachsendem Geflugel
M Hoffmann, G Gebhardt
Leipzig Karl marx univ Wiss Z, 1973
1973
Ermittlung leistungsabhangiger Rohprotein-und Aminosauren-Gaben fur Broiler auf der Grundlage der Stickstoff-retention
M Hoffmann, G Gebhardt
Leipzig Karl marx univ Wiss Z, 1973
1973
The system can't perform the operation now. Try again later.
Articles 1–20