Follow
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
772021
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
352019
Few-shot learning in deep networks through global prototyping
S Blaes, T Burwick
Neural networks 94, 159-172, 2017
282017
Electron density and plasma dynamics of a spherical theta pinch
C Teske, Y Liu, S Blaes, J Jacoby
Physics of plasmas 19 (3), 2012
262012
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
202023
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
202023
Versatile skill control via self-supervised adversarial imitation of unlabeled mixed motions
C Li, S Blaes, P Kolev, M Vlastelica, J Frey, G Martius
2023 IEEE international conference on robotics and automation (ICRA), 2944-2950, 2023
132023
Extracting strong policies for robotics tasks from zero-order trajectory optimizers
C Pinneri, S Sawant, S Blaes, G Martius
International Conference on Learning Representations, 2020
112020
Curious exploration via structured world models yields zero-shot object manipulation
C Sancaktar, S Blaes, G Martius
Advances in Neural Information Processing Systems 35, 24170-24183, 2022
102022
Risk-averse zero-order trajectory optimization
M Vlastelica, S Blaes, C Pinneri, G Martius
5th Annual Conference on Robot Learning, 2021
82021
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, ...
NeurIPS 2022 Competition Track, 133-150, 2023
22023
Attentional bias through oscillatory coherence between excitatory activity and inhibitory minima
S Blaes, T Burwick
Neural Computation 27 (7), 1405-1437, 2015
22015
Optimistic Active Exploration of Dynamical Systems
L Treven, C Sancaktar, S Blaes, S Coros, A Krause
Advances in Neural Information Processing Systems 36, 2024
2024
Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning
M Vlastelica, S Blaes, C Pineri, G Martius
arXiv preprint arXiv:2309.05582, 2023
2023
Optimistic Active Exploration of Dynamical Systems
B Sukhija, L Treven, C Sancaktar, S Blaes, S Coros, A Krause
arXiv preprint arXiv:2306.12371, 2023
2023
Nature-Inspired Inductive Biases in Learning Robots
S Blaes
Universität Tübingen, 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
The system can't perform the operation now. Try again later.
Articles 1–17