Publications

Philip Becker-Ehmck; Maximilian Karl; Jan Peters; Patrick van der Smagt

Learning to Fly via Deep Model-Based Reinforcement Learning

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.08876, Pages 0-10, arXiv, 2020.

Marcus Ebner von Eschenbach; Binyamin Manela; Jan Peters; Armin Biess

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02638, Pages 0-10, arXiv, 2020.

Samuele Tosatto; Jonas Stadtmueller; Jan Peters

Dimensionality Reduction of Movement Primitives in Parameter Space

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02634, Pages 0-10, arXiv, 2020.

Dusan Dokic; Hannah Stein; Sabine Janzen; Wolfgang Maaß

Towards Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers

In: INFORMATIK 2023. Jahrestagung der Gesellschaft für Informatik (INFORMATIK-2023), 11. Workshop Umweltinformatik zwischen Nachhaltigkeit und Wandel, located at Lecture Notes in Informatics (LNI), September 26-29, Berlin, Germany, Gesellschaft für Informatik, Bonn 2023, Bonn, 2023.

Wei Jiang; Hans Dieter Schotten

Terahertz-Enpowered Communications and Sensing in 6G Systems: Opportunities and Challenges

In: IEEE ICCC. IEEE International Conference on Computer and Communications (ICCC-2023), December 8-11, Chengdu, China, IEEE, 12/2023.

Adrian Auer; Lisa Gutzeit; Frank Kirchner

CoBaIR: A Python Library for Context-Based Intention Recognition in Human-Robot-Interaction

In: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN-2023), August 28-31, Busan, Korea, Republic of, IEEE, 2023.

David Jilg; Joscha Grüger; Tobias Geyer; Ralph Bergmann

DALG: The Data Aware Event Log Generator

In: BPM 2023 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum. BPM Demo Track (BPMTracks-2023), Ceur-WS, 2023.

Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters

Bayesian Domain Randomization for Sim-to-Real Transfer

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02471, Pages 0-10, arXiv, 2020.

Samuele Tosatto; Riad Akrour; Jan Peters

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2001.10972, Pages 0-10, arXiv, 2020.

Diego Agudelo-Espa~na; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters

Bayesian Online Prediction of Change Points

In: Ryan P. Adams; Vibhav Gogate (Hrsg.). Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2020), August 3-6, Pages 320-329, Proceedings of Machine Learning Research, Vol. 124, AUAI Press, 2020.