Skip to main content Skip to main navigation

Publikationen

Aktive Filter:

Jahr: 2020
Alle Filter entfernen
Zeige Ergebnisse 31 bis 40 von 599.

  1. Kai Ploeger; Michael Lutter; Jan Peters

    High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards

    In: Jens Kober; Fabio Ramos; Claire J. Tomlin (Hrsg.). 4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA. Conference on Robot Learning (CoRL), Pages 642-653, Proceedings of Machine Learning Research, Vol. 155, PMLR, 2020.

  2. Samuele Tosatto; Jo~ao Carvalho; Hany Abdulsamad; Jan Peters

    A Nonparametric Off-Policy Policy Gradient

    In: Silvia Chiappa; Roberto Calandra (Hrsg.). The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. International Conference on Artificial Intelligence and Statistics (AISTATS), Pages 167-177, Proceedings of Machine Learning Research, Vol. 108, PMLR, 2020.

  3. Sebastián Gómez-González; Gerhard Neumann; Bernhard Schölkopf; Jan Peters

    Adaptation and Robust Learning of Probabilistic Movement Primitives

    In: IEEE Transactions on Robotics (T-RO), Vol. 36, No. 2, Pages 366-379, IEEE, 2020.

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

    Learning Sequential Force Interaction Skills

    In: Robotics, Vol. 9, No. 2, Pages 0-10, MDPI, 2020.

  5. Joni Pajarinen; Oleg Arenz; Jan Peters; Gerhard Neumann

    Probabilistic Approach to Physical Object Disentangling

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 4, Pages 5510-5517, IEEE, 2020.

  6. Mikko Lauri; Joni Pajarinen; Jan Peters; Simone Frintrop

    Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 4, Pages 5323-5330, IEEE, 2020.

  7. Kurena Motokura; Masaki Takahashi; Marco Ewerton; Jan Peters

    Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 3275-3282, IEEE, 2020.

  8. Stefan Löckel; Jan Peters; Peter van Vliet

    A Probabilistic Framework for Imitating Human Race Driver Behavior

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 2086-2093, IEEE, 2020.

  9. Sebastián Gómez-González; Sergey Prokudin; Bernhard Schölkopf; Jan Peters

    Real Time Trajectory Prediction Using Deep Conditional Generative Models

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 970-976, IEEE, 2020.

  10. Julia Vinogradska; Bastian Bischoff; Jan Achterhold; Torsten Koller; Jan Peters

    Numerical Quadrature for Probabilistic Policy Search

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 42, No. 1, Pages 164-175, IEEE, 2020.

Jahr