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Displaying results 51 to 60 of 795.
  1. Janosch Moos; Kay Hansel; Hany Abdulsamad; Svenja Stark; Debora Clever; Jan Peters

    Robust Reinforcement Learning: A Review of Foundations and Recent Advances

    In: Machine Learning and Knowledge Extraction, Vol. 4, No. 1, Pages 276-315, MDPI, 3/2022.

  2. Vignesh Prasad; Ruth Stock-Homburg; Jan Peters

    Human-Robot Handshaking: A Review

    In: International Journal of Social Robotics, Vol. 14, No. 1, Pages 277-293, Springer, 2022.

  3. Bang You; Oleg Arenz; Youping Chen; Jan Peters

    Integrating contrastive learning with dynamic models for reinforcement learning from images

    In: Neurocomputing, Vol. 476, Pages 102-114, Elsevier, 2022.

  4. Fabio Muratore; Fabio Ramos; Greg Turk; Wenhao Yu; Michael Gienger; Jan Peters

    Robot Learning From Randomized Simulations: A Review

    In: Frontiers in Robotics and AI, Vol. 9, Pages 0-10, Frontiers, 2022.

  5. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    PAC-Bayesian lifelong learning for multi-armed bandits

    In: Data Mining and Knowledge Discovery, Vol. 36, No. 2, Pages 841-876, Springer, 2022.

  6. Simone Parisi; Davide Tateo; Maximilian Hensel; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning

    In: Algorithms, Vol. 15, No. 3, Pages 0-10, MDPI, 2022.

  7. Alan Le Goallec; Samuel Diai; Sasha Collin; Jean-Baptiste Prost; Théo Vincent; Chirag J Patel

    Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

    In: Nature Communications, Vol. 13, No. 1, Pages 1979-1979, Nature Publishing Group UK London, 2022.

  8. Thorsten Schoormann; Friedemann Kammler; Paul Christoph Gembarski; Simon Hagen

    2. Workshop: Nachhaltige Wertschöpfungssysteme (NaWerSys)

    In: Daniel Demmler; Daniel Krupka; Hannes Federrath (Hrsg.). Lecture Notes in Informatics (LNI) - Proceedings, Volume P-326. Jahrestagung der …

  9. Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart

    Personalized and Explainable Course Recommendations for Students at Risk of Dropping out

    In: Antonija Mitrovic; Nigel Bosch (Hrsg.). Proceedings of the 15th International Conference on Educational Data Mining. International Conference on …