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Publikationen

 

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Zeige Ergebnisse 31 bis 40 von 81
  1. Takayuki Osa; Joni Pajarinen; Gerhard Neumann; J. Andrew Bagnell; Pieter Abbeel; Jan Peters

    An Algorithmic Perspective on Imitation Learning

    In: Foundations and Trends in Robotics, Vol. 7, No. 1-2, Pages 1-179, Now Publishers, 3/2018.

  2. Marco Ewerton; David Rother; Jakob Weimar; Gerrit Kollegger; Josef Wiemeyer; Jan Peters; Guilherme Maeda

    Assisting Movement Training and Execution With Visual and Haptic Feedback

    In: Frontiers in Neurorobotics, Vol. 12, Pages 0-10, Frontiers, 2018.

  3. Oliver Kroemer; Simon Leischnig; Stefan Luettgen; Jan Peters

    A kernel-based approach to learning contact distributions for robot manipulation tasks

    In: Autonomous Robots, Vol. 42, No. 3, Pages 581-600, Springer, 2018.

  4. Alexandros Paraschos; Christian Daniel; Jan Peters; Gerhard Neumann

    Using probabilistic movement primitives in robotics

    In: Autonomous Robots, Vol. 42, No. 3, Pages 529-551, Springer, 2018.

  5. Takayuki Osa; Jan Peters; Gerhard Neumann

    Hierarchical reinforcement learning of multiple grasping strategies with human instructions

    In: Advanced Robotics, Vol. 32, No. 18, Pages 955-968, Taylor & Francis Online, 2018.

  6. Alexandros Paraschos; Elmar Rueckert; Jan Peters; Gerhard Neumann

    Probabilistic movement primitives under unknown system dynamics

    In: Advanced Robotics, Vol. 32, No. 6, Pages 297-310, Taylor & Francis Online, 2018.

  7. Moritz Kulessa; Alejandro Molina; Carsten Binnig; Benjamin Hilprecht; Kristian Kersting

    Model-based Approximate Query Processing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1811.06224, Pages 0-10, arXiv, 2018.

  8. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Kristian Kersting; Zoubin Ghahramani

    Probabilistic Deep Learning using Random Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1806.01910, Pages 0-10, arXiv, 2018.

  9. Stefano Teso; Kristian Kersting

    "Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1805.08578, Pages 0-10, arXiv, 2018.

  10. Neural Conditional Gradients

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1803.04300, Pages 0-10, arXiv, 2018.