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Publications

Displaying results 1 to 10 of 14483.

  1. Abbas Abdolmaleki; Nima Shafii; Luís Paulo Reis; Nuno Lau; Jan Peters; Gerhard Neumann

    Omnidirectional Walking with a Compliant Inverted Pendulum Model

    In: Ana L.C. Bazzan; Karim Pichara (Hrsg.). Advances in Artificial Intelligence - IBERAMIA 2014 - 14th Ibero-American Conference on AI, Proceedings. Ibero-American Conference on Artificial Intelligence (IBERAMIA-2014), November 24-27, Santiago de Chile, Chile, Pages 481-493, Lecture Notes in Computer Science (LNAI), Vol. 8864, Springer, 11/2014.

  2. Jan Peters; Justus H. Piater; Robert Platt Jr.; Siddhartha S. Srinivasa

    Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411)

    In: Dagstuhl Reports, Vol. 5, No. 10, Pages 1-18, Dagstuhl, 2015.

  3. Filipe Veiga; Herke van Hoof; Jan Peters; Tucker Hermans

    Stabilizing novel objects by learning to predict tactile slip

    In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2015), September 28 - October 2, Hamburg, Germany, Pages 5065-5072, IEEE, 2015.

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

    Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations

    In: Robotics and Autonomous Systems (RAS), Vol. 74, Pages 97-107, Elsevier, 2015.

  5. Jan Peters; Daniel D. Lee; Jens Kober; Duy Nguyen-Tuong; J. Andrew Bagnell; Stefan Schaal

    Robot Learning

    In: Bruno Siciliano; Oussama Khatib (Hrsg.). Springer Handbook of Robotics. Pages 357-398, Springer Handbooks, Springer, 2016.

  6. Christian Daniel; Gerhard Neumann; Oliver Kroemer; Jan Peters

    Hierarchical Relative Entropy Policy Search

    In: Journal of Machine Learning Research, Vol. 17, Pages 93:1-93:50, JMLR, 2016.

  7. Jan Peters; Russ Tedrake; Nick Roy; Jun Morimoto

    Robot Learning

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 1106-1109, Springer, 2017.

  8. Jan Peters; J. Andrew Bagnell

    Policy Gradient Methods

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 982-985, Springer, 2017.

  9. Christoph Albert Johns; Michael Barz; Daniel Sonntag

    Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models

    In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2023: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2023), Berlin, Germany, Pages 75-89, ISBN 978-3-031-42608-7, Springer Nature Switzerland, Cham, 9/2023.

  10. Karl-Heinz Fiebig; Vinay Jayaram; Thomas Hesse; Alexander Blank; Jan Peters; Moritz Grosse-Wentrup

    Bayesian Regression for Artifact correction in Electroencephalography

    In: Gernot R. Müller-Putz; David Steyrl; Selina C. Wriessnegger; Reinhold Scherer (Hrsg.). From Vision to Reality - Proceedings of the 7th Graz Brain-Computer Interface Conference. Graz Brain-Computer Interface Conference (GBCIC-2017), September 18-22, Graz, Austria, Verlag der Technischen Universitaet Graz, 2017.

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