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Publications

Displaying results 811 to 820 of 14517.
  1. Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters

    Model Learning with Local Gaussian Process Regression

    In: Advanced Robotics, Vol. 23, No. 15, Pages 2015-2034, Taylor & Francis Online, 2009.

  2. Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters

    Combining active learning and reactive control for robot grasping

    In: Robotics and Autonomous Systems (RAS), Vol. 58, No. 9, Pages 1105-1116, Elsevier, 2010.

  3. Jens Kober; Jan Peters

    Imitation and Reinforcement Learning

    In: IEEE Robotics & Automation Magazine, Vol. 17, No. 2, Pages 55-62, IEEE, 2010.

  4. Frank Sehnke; Christian Osendorfer; Thomas Rückstieß; Alex Graves; Jan Peters; Jürgen Schmidhuber

    Parameter-exploring policy gradients

    In: Neural Networks, Vol. 23, No. 4, Pages 551-559, Elsevier, 2010.

  5. Jan Peters; Jens Kober; Stefan Schaal

    Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills)

    In: at - Automatisierungstechnik, Vol. 58, No. 12, Pages 688-694, De Gruyter, 2010.

  6. Duy Nguyen-Tuong; Jan Peters

    Learning task-space tracking control with kernels

    In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2011), September 25-30, San Francisco, CA, USA, Pages 704-709, IEEE, 2011.

  7. Duy Nguyen-Tuong; Jan Peters

    Incremental online sparsification for model learning in real-time robot control

    In: Neurocomputing, Vol. 74, No. 11, Pages 1859-1867, Elsevier, 2011.

  8. InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations

    In: Houda Bouamor; Juan Pino; Kalika Bali (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2023. Conference on Empirical Methods in Natural Language Processing (EMNLP-2023), December 6-10, Singapore, Singapore, Association for Computational Linguistics, 12/2023.

  9. An expert knowledge representation based on real world experiences in proof-of-concept robot system design

    PhD-Thesis, Universität Bremen - Fachbereich 03: Mathematik/Informatik (FB 03), Staats- und Universitätsbibliothek Bremen, Bremen, Germany, 6/2023.