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Jahr: 2021
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  1. Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

  2. 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 …

  3. 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.

  4. Leo Sylvio Rüdian; Niels Pinkwart

    Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates

    In: International Conference on Advanced Learning Technologies (ICALT 2021). IEEE International Conference on Advanced Learning Technologies …

  5. Leo Sylvio Rüdian; M. H. Khan; Niels Pinkwart

    Using H5P in Exams: A Method to prevent Cheating

    In: International Conference on Advanced Learning Technologies (ICALT 2021). IEEE International Conference on Advanced Learning Technologies (ICALT), …

  6. Leo Sylvio Rüdian; J. Haase; Niels Pinkwart

    The relation of convergent thinking and trace data in an online course

    In: Die 19. Fachtagung Bildungstechnologien (DELFI). DeLFI Workshops (DeLFI-WS-2021), September 13-15, Dortmund, Germany, ISBN 978-3-88579-710-4, GI, …

  7. W. Sun; C. Schumacher; L. Chen; Niels Pinkwart

    What Do MOOC Dashboards Present to Learners?

    In: Wenting Sun; Clara Schumacher; Li Chen; Niels Pinkwart. Visualizations and Dashboards for Learning Analytics. Pages 117-148, Springer, 2021.

  8. 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.

  9. 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.

  10. Philipp Koch; Kamran Mohammad-Zadeh; Marco Maass; Mark Dreier; Ole Thomsen; Tim J. Parbs; Huy Phan; Alfred Mertins

    sEMG-Based Hand Movement Regression by Prediction of Joint Angles With Recurrent Neural Networks

    In: 43nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). International Conference of the IEEE …

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