Skip to main content Skip to main navigation

Publikationen

Aktive Filter:

Jahr: 2020
Alle Filter entfernen
Zeige Ergebnisse 71 bis 80 von 599.

  1. Julen Urain; Michele Ginesi; Davide Tateo; Jan Peters

    ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5231-5237, IEEE, 2020.

  2. Tuan Dam; Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Generalized Mean Estimation in Monte-Carlo Tree Search

    In: Christian Bessiere (Hrsg.). Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2020), Pages 2397-2404, ijcai.org, 2020.

  3. Christoph Zelch; Jan Peters; Oskar von Stryk

    Learning Control Policies from Optimal Trajectories

    In: 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020. IEEE International Conference on Robotics and Automation (ICRA), Pages 2529-2535, IEEE, 2020.

  4. Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters

    Sharing Knowledge in Multi-Task Deep Reinforcement Learning

    In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. International Conference on Learning Representations (ICLR), OpenReview.net, 2020.

  5. Ruth Stock-Homburg; Jan Peters; Katharina Schneider; Vignesh Prasad; Lejla Nukovic

    Evaluation of the Handshake Turing Test for anthropomorphic Robots

    In: Tony Belpaeme; James E. Young; Hatice Gunes; Laurel D. Riek (Hrsg.). Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020, Cambridge, UK, March 23-26, 2020. ACM/IEEE International Conference on Human-Robot Interaction (HRI), Pages 456-458, ACM, 2020.

  6. 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.

  7. 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.

  8. 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.

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

    Learning Sequential Force Interaction Skills

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

  10. 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.

Jahr