Gregor H. W. Gebhardt - researchr alias

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Viewing Publication 1 - 7 from 7

2021

Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal GroupsTim Landgraf, Gregor H. W. Gebhardt, David Bierbach, Pawel Romanczuk, Lea Musiolek, Verena V. Hafner, Jens Krause. arcras, 4:487-507, 2021. [doi]

2019

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature SpacesPhilipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann. icml 2019: 544-552 [doi]

Using Mean Embeddings for State Estimation and Reinforcement LearningGregor H. W. Gebhardt. PhD thesis, Darmstadt University of Technology, Germany, 2019. [doi]

The kernel Kalman rule - Efficient nonparametric inference by recursive least-squares and subspace projectionsGregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann. ml, 108(12):2113-2157, 2019. [doi]

2018

Learning Robust Policies for Object Manipulation with Robot SwarmsGregor H. W. Gebhardt, Kevin Daun, Marius Schnaubelt, Gerhard Neumann. icra 2018: 7688-7695 [doi]

2017

Learning to Assemble Objects with a Robot SwarmGregor H. W. Gebhardt, Kevin Daun, Marius Schnaubelt, Alexander Hendrich, Daniel Kauth, Gerhard Neumann. atal 2017: 1547-1549 [doi]

The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least SquaresGregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann. AAAI 2017: 3754-3760 [doi]

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