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Nico Gürtler
Nico Gürtler
PhD student at the Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Accelerated physical emulation of bayesian inference in spiking neural networks
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
Frontiers in neuroscience 13, 1201, 2019
362019
Hierarchical reinforcement learning with timed subgoals
N Gürtler, D Büchler, G Martius
Advances in Neural Information Processing Systems 34, 21732-21743, 2021
242021
Benchmarking offline reinforcement learning on real-robot hardware
N Gürtler, S Blaes, P Kolev, F Widmaier, M Wüthrich, S Bauer, ...
arXiv preprint arXiv:2307.15690, 2023
222023
Direct advantage estimation
HR Pan, N Gürtler, A Neitz, B Schölkopf
Advances in Neural Information Processing Systems 35, 11869-11880, 2022
112022
Accelerated physical emulation of bayesian inference in spiking neural networks. Front Neurosci 13: 1201
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
52019
Improving behavioural cloning with positive unlabeled learning
Q Wang, R McCarthy, DC Bulens, K McGuinness, NE O’Connor, ...
Conference on Robot Learning, 3851-3869, 2023
42023
AIMY: An open-source table tennis ball launcher for versatile and high-fidelity trajectory generation
A Dittrich, J Schneider, S Guist, N Gürtler, H Ott, T Steinbrenner, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 3058-3064, 2023
42023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
N Gürtler, F Widmaier, C Sancaktar, S Blaes, P Kolev, S Bauer, ...
arXiv preprint arXiv:2308.07741, 2023
32023
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