Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 11 bis 20 von 534
  1. Fabio Muratore; Felix Treede; Michael Gienger; Jan Peters

    Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment

    In: Proceedings of the 2nd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2018), October 29-31, Zürich, Switzerland, Pages …

  2. Filipe Veiga; Jan Peters; Tucker Hermans

    Grip Stabilization of Novel Objects Using Slip Prediction

    In: IEEE Transactions on Haptics, Vol. 11, No. 4, Pages 531-542, IEEE, 2018.

  3. Dieter Buchler; Roberto Calandra; Bernhard Schölkopf; Jan Peters

    Control of Musculoskeletal Systems Using Learned Dynamics Models

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 3, No. 4, Pages 3161-3168, IEEE, 2018.

  4. Julia Vinogradska; Bastian Bischoff; Jan Peters

    Approximate Value Iteration Based on Numerical Quadrature

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 3, No. 2, Pages 1330-1337, IEEE, 2018.

  5. Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters

    Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 3, No. 2, Pages 926-933, IEEE, 2018.

  6. Adrian Sosic; Elmar Rueckert; Jan Peters; Abdelhak M. Zoubir; Heinz Koeppl

    Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling

    In: Journal of Machine Learning Research, Vol. 19, Pages 69:1-69:45, JMLR, 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.