Skip to main content Skip to main navigation

Publikationen

 

Aufgrund von Wartungsarbeiten ist die Suche von Publikationen nach Autor:innen derzeit nicht möglich.

Zeige Ergebnisse 71 bis 80 von 546
  1. Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters

    Robot Reinforcement Learning on the Constraint Manifold

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, …

  2. Michael Lutter; Debora Clever; René Kirsten; Kim Listmann; Jan Peters

    Building Skill Learning Systems for Robotics

    In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and …

  3. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  4. Samuel Bustamante; Jan Peters; Bernhard Schölkopf; Moritz Grosse-Wentrup; Vinay Jayaram

    ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics

    In: IEEE Transactions on Human-Machine Systems, Vol. 51, No. 6, Pages 568-577, IEEE, 2021.

  5. Daniel Tanneberg; Kai Ploeger; Elmar Rueckert; Jan Peters

    SKID RAW: Skill Discovery From Raw Trajectories

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 3, Pages 4696-4703, IEEE, 2021.

  6. Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters

    Data-Efficient Domain Randomization With Bayesian Optimization

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 6, No. 2, Pages 911-918, IEEE, 2021.

  7. Fabio Muratore; Michael Gienger; Jan Peters

    Assessing Transferability From Simulation to Reality for Reinforcement Learning

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 43, No. 4, Pages 1172-1183, IEEE, 2021.

  8. Riad Akrour; Asma Atamna; Jan Peters

    Convex optimization with an interpolation-based projection and its application to deep learning

    In: Machine Learning, Vol. 110, No. 8, Pages 2267-2289, Springer, 2021.

  9. Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters; Marcello Restelli

    Gaussian Approximation for Bias Reduction in Q-Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 277:1-277:51, JMLR, 2021.

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

    MushroomRL: Simplifying Reinforcement Learning Research

    In: Journal of Machine Learning Research, Vol. 22, Pages 131:1-131:5, JMLR, 2021.