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Jahr: 2021
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  1. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  2. Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters

    Latent Derivative Bayesian Last Layer Networks

    In: Arindam Banerjee; Kenji Fukumizu (Hrsg.). The 24th International Conference on Artificial Intelligence and Statistics. International Conference on …

  3. Florian Stuhlenmiller; Debora Clever; Stephan Rinderknecht; Michael Lutter; Jan Peters

    Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System

    In: 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE/ASME International Conference on Advanced Intelligent …

  4. Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

  5. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research …

  6. Hany Abdulsamad; Tim Dorau; Boris Belousov; Jia-Jie Zhu; Jan Peters

    Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions

    arXiv preprint arXiv:2103.15388, 2021.

  7. Thomas Röfer; Tim Laue; Nikolai Bahr; Jonah Jaeger; Jannes Knychalla; Thorben Lorenzen; Nele Matschull; Yannik Meinken; Lukas Malte Monnerjahn; Lukas Plecher; Philip Reichenberg

    B-Human Team Report and Code Release 2021

    2021.

  8. Patrick Trampert; Dmitri Rubinstein; Faysal Boughorbel; Christian Schlinkmann; Maria Luschkova; Philipp Slusallek; Tim Dahmen; Stefan Sandfeld

    Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

    In: Paolo Olivero (Hrsg.). Crystals, Vol. 11, No. 258, Pages 1-13, MDPI, 3/2021.

  9. Katarzyna Biernacka; Kerstin Helbig; Petra Buchholz

    Adaptable Methods for Training in Research Data Management

    Humboldt-Universität zu Berlin, Humboldt-Universität zu Berlin, Berlin, 4/2021.

  10. Katarzyna Biernacka; Niels Pinkwart

    Opportunities for Adopting Open Research Data in Learning Analytics

    In: Ana Azevedo; José Manuel Azevedo; James Onohuome Uhomoibhi; Ebba Ossiannilsson (Hrsg.). Advancing the Power of Learning Analytics and Big Data in …

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