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 | 36 | 2019 |
Hierarchical reinforcement learning with timed subgoals N Gürtler, D Büchler, G Martius Advances in Neural Information Processing Systems 34, 21732-21743, 2021 | 24 | 2021 |
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 | 22 | 2023 |
Direct advantage estimation HR Pan, N Gürtler, A Neitz, B Schölkopf Advances in Neural Information Processing Systems 35, 11869-11880, 2022 | 11 | 2022 |
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, ... | 5 | 2019 |
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 | 4 | 2023 |
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 | 4 | 2023 |
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 | 3 | 2023 |