Skip to main content Skip to main navigation

Publications

Displaying results 41 to 50 of 571.
  1. Julen Urain; Jan Peters

    Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 1363-1369, IEEE, 2019.

  2. Svenja Stark; Jan Peters; Elmar Rueckert

    Experience Reuse with Probabilistic Movement Primitives

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 1210-1217, IEEE, 2019.

  3. Samuele Tosatto; Carlo D'Eramo; Joni Pajarinen; Marcello Restelli; Jan Peters

    Exploration Driven by an Optimistic Bellman Equation

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2019), July 14-19, Budapest, Hungary, Pages 1-8, IEEE, 2019.

  4. Philip Becker-Ehmck; Jan Peters; Patrick van der Smagt

    Switching Linear Dynamics for Variational Bayes Filtering

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 553-562, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  5. Riad Akrour; Joni Pajarinen; Jan Peters; Gerhard Neumann

    Projections for Approximate Policy Iteration Algorithms

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 181-190, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  6. Michael Lutter; Christian Ritter; Jan Peters

    Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

    In: 7th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, LA, USA, OpenReview.net, 2019.

  7. Zinan Liu; Arne Hitzmann; Shuhei Ikemoto; Svenja Stark; Jan Peters; Koh Hosoda

    Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1906.09013, Pages 0-10, arXiv, 2019.

  8. Zinan Liu; Kai Ploeger; Svenja Stark; Elmar Rueckert; Jan Peters

    Learning walk and trot from the same objective using different types of exploration

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.12336, Pages 0-10, arXiv, 2019.

  9. Kristian Kersting; Jan Peters; Constantin A. Rothkopf

    Was ist eine Professur fuer Kuenstliche Intelligenz?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1903.09516, Pages 0-10, arXiv, 2019.

  10. Diego Agudelo-Espa~na; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters

    Bayesian Online Detection and Prediction of Change Points

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1902.04524, Pages 0-10, arXiv, 2019.