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Sebastian Blaes
Sebastian Blaes
Postdoctoral Researcher at the Max-Planck Institute for Intelligent Systems, Autonomous Learning
Verified email at tue.mpg.de - Homepage
Title
Cited by
Cited by
Year
Sample-efficient cross-entropy method for real-time planning
C Pinneri, S Sawant, S Blaes, J Achterhold, J Stueckler, M Rolinek, ...
Conference on Robot Learning, 1049-1065, 2021
492021
Control what you can: Intrinsically motivated task-planning agent
S Blaes, M Vlastelica Pogančić, J Zhu, G Martius
Advances in Neural Information Processing Systems 32, 2019
252019
Electron density and plasma dynamics of a spherical theta pinch
C Teske, Y Liu, S Blaes, J Jacoby
Physics of plasmas 19 (3), 033505, 2012
242012
Few-shot learning in deep networks through global prototyping
S Blaes, T Burwick
Neural networks 94, 159-172, 2017
222017
Extracting strong policies for robotics tasks from zero-order trajectory optimizers
C Pinneri, S Sawant, S Blaes, G Martius
International Conference on Learning Representations, 2021
92021
Learning agile skills via adversarial imitation of rough partial demonstrations
C Li, M Vlastelica, S Blaes, J Frey, F Grimminger, G Martius
Conference on Robot Learning, 342-352, 2023
32023
Risk-averse zero-order trajectory optimization
M Vlastelica, S Blaes, C Pinneri, G Martius
5th Annual Conference on Robot Learning, 2021
22021
Attentional bias through oscillatory coherence between excitatory activity and inhibitory minima
S Blaes, T Burwick
Neural Computation 27 (7), 1405-1437, 2015
22015
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
C Sancaktar, S Blaes, G Martius
arXiv preprint arXiv:2206.11403, 2022
12022
Nature-Inspired Inductive Biases in Learning Robots
S Blaes
Universität Tübingen, 2022
2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
C Li, S Blaes, P Kolev, M Vlastelica, J Frey, G Martius
arXiv preprint arXiv:2209.07899, 2022
2022
Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics.
M Mundt, S Blaes, T Burwick
ESANN, 2016
2016
BENCHMARKING OFFLINE REINFORCEMENT LEARN-ING ON REAL-ROBOT HARDWARE
N Gürtler, S Blaes, P Kolev, F Widmaier, M Wüthrich, S Bauer, ...
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Articles 1–13