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Publications

Displaying results 2491 to 2500 of 14418.

  1. 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.

  2. 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.

  3. 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.

  4. Okan Koc; Guilherme Maeda; Jan Peters

    Optimizing the Execution of Dynamic Robot Movements With Learning Control

    In: IEEE Transactions on Robotics (T-RO), Vol. 35, No. 4, Pages 909-924, IEEE, 2019.

  5. Sebastián Gómez-González; Yassine Nemmour; Bernhard Schölkopf; Jan Peters

    Reliable Real-Time Ball Tracking for Robot Table Tennis

    In: Robotics, Vol. 8, No. 4, Pages 0-10, MDPI, 2019.

  6. Dorothea Koert; Joni Pajarinen; Albert Schotschneider; Susanne Trick; Constantin A. Rothkopf; Jan Peters

    Learning Intention Aware Online Adaptation of Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 4, Pages 3719-3726, IEEE, 2019.

  7. Florian Brandherm; Jan Peters; Gerhard Neumann; Riad Akrour

    Learning Replanning Policies With Direct Policy Search

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 2196-2203, IEEE, 2019.

  8. Okan Koc; Jan Peters

    Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 1784-1791, IEEE, 2019.

  9. Daniel Tanneberg; Jan Peters; Elmar Rueckert

    Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

    In: Neural Networks, Vol. 109, Pages 67-80, Elsevier, 2019.

  10. Simone Parisi; Voot Tangkaratt; Jan Peters; Mohammad Emtiyaz Khan

    TD-regularized actor-critic methods

    In: Machine Learning, Vol. 108, No. 8-9, Pages 1467-1501, Springer, 2019.

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