Sebastian Blaes

According to our database, Sebastian Blaes authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning.

Marin Vlastelica, Sebastian Blaes, Cristina Pinneri, Georg Martius

CoRR, 2023

Optimistic Active Exploration of Dynamical Systems.

Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions.

Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware.

Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Nature-Inspired Inductive Biases in Learning Robots.

Sebastian Blaes

PhD thesis, 2022

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation.

Cansu Sancaktar, Sebastian Blaes, Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations.

Chenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius

Proceedings of the Conference on Robot Learning, 2022

2021

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.

Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius

Proceedings of the NeurIPS 2022 Competition Track, 2021

Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers.

Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Georg Martius

Proceedings of the 9th International Conference on Learning Representations, 2021

Risk-Averse Zero-Order Trajectory Optimization.

Marin Vlastelica P., Sebastian Blaes, Cristina Pinneri, Georg Martius

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Sample-efficient Cross-Entropy Method for Real-time Planning.

Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolínek, Georg Martius

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Control What You Can: Intrinsically Motivated Task-Planning Agent.

Sebastian Blaes, Marin Vlastelica Pogancic, Jia-Jie Zhu, Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Few-shot learning in deep networks through global prototyping.

Sebastian Blaes, Thomas Burwick

Neural Networks, 2017

2016

Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics.

Martin Mundt, Sebastian Blaes, Thomas Burwick

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Attentional Bias Through Oscillatory Coherence Between Excitatory Activity and Inhibitory Minima.

Sebastian Blaes, Thomas Burwick

Neural Comput., 2015