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Publikationen

Zeige Ergebnisse 51 bis 60 von 67
  1. Herke van Hoof; Daniel Tanneberg; Jan Peters

    Generalized exploration in policy search

    In: Machine Learning, Vol. 106, No. 9-10, Pages 1705-1724, Springer, 2017.

  2. Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Jan Peters

    Stability of Controllers for Gaussian Process Dynamics

    In: Journal of Machine Learning Research, Vol. 18, Pages 100:1-100:37, JMLR, 2017.

  3. Herke van Hoof; Gerhard Neumann; Jan Peters

    Non-parametric Policy Search with Limited Information Loss

    In: Journal of Machine Learning Research, Vol. 18, Pages 73:1-73:46, JMLR, 2017.

  4. Serena Ivaldi; Sébastien Lefort; Jan Peters; Mohamed Chetouani; Joelle Provasi; Elisabetta Zibetti

    Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task - Experiments with the iCub humanoid

    In: International Journal of Social Robotics, Vol. 9, No. 1, Pages 63-86, Springer, 2017.

  5. Guilherme Maeda; Marco Ewerton; Gerhard Neumann; Rudolf Lioutikov; Jan Peters

    Phase estimation for fast action recognition and trajectory generation in human-robot collaboration

    In: International Journal of Robotics Research (IJRR), Vol. 36, No. 13-14, Pages 1579-1594, Sage Publications, 2017.

  6. Rudolf Lioutikov; Gerhard Neumann; Guilherme Maeda; Jan Peters

    Learning movement primitive libraries through probabilistic segmentation

    In: International Journal of Robotics Research (IJRR), Vol. 36, No. 8, Pages 879-894, Sage Publications, 2017.

  7. Oriane Dermy; Alexandros Paraschos; Marco Ewerton; Jan Peters; François Charpillet; Serena Ivaldi

    Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives

    In: Frontiers in Robotics and AI, Vol. 4, Pages 0-10, Frontiers, 2017.

  8. Guilherme Maeda; Gerhard Neumann; Marco Ewerton; Rudolf Lioutikov; Oliver Kroemer; Jan Peters

    Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks

    In: Autonomous Robots, Vol. 41, No. 3, Pages 593-612, Springer, 2017.

  9. Fraser Bowen; Jon Dehdari; Josef van Genabith

    The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction

    In: The Third Workshop on Noisy User-generated Text (W-NUT 2017) - Proceedings of the Workshop. Workshop on Noisy User-generated Text (NUT-2017), …

  10. Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Enke; Peter Fettke; Peter Loos

    Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

    In: . (Hrsg.). Procedia Computer Science. Complex Adaptive Systems (CAS-2017), USA, Pages 242-249, Vol. 114, 2017.