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Publikationen

Zeige Ergebnisse 61 bis 70 von 576.
  1. B. Wibranek; B Belousov; A. Sadybakasov; J Peters; O. Tessmann

    Interactive structure--robotic repositioning of vertical elements in man-machine collaborative assembly through vision-based tactile sensing

    In: Architecture in the age of the 4th industrial revolution. eCAADe and SIGraDi Conference, September 9-13, Porto, Portugal, Pages 11-13, Vol. 2, eCAADe, 2019.

  2. Boris Belousov; Alymbek Sadybakasov; Bastian Wibranek; Filipe Veiga; Oliver Tessmann; Jan Peters

    Building a library of tactile skills based on fingervision

    In: IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2019), October 15-17, Toronto, ON, Canada, Pages 717-722, IEEE, 2019.

  3. David Nass; Boris Belousov; Jan Peters

    Entropic risk measure in policy search

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 4-8, Macau, China, Pages 1101-1106, IEEE, 2019.

  4. Michael Lutter; Boris Belousov; Kim Listmann; Debora Clever; Jan Peters

    HJB optimal feedback control with deep differential value functions and action constraints

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 640-650, Proceedings of Machine Learning Research (PMLR), Vol. 100, PMLR, 2019.

  5. Pascal Klink; Hany Abdulsamad; Boris Belousov; Jan Peters

    Self-paced contextual reinforcement learning

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 513-529, Proceedings of Machine Learning Research (PMLR), Vol. 100, PMLR, 2019.

  6. Matthias Schultheis; Boris Belousov; Hany Abdulsamad; Jan Peters

    Receding horizon curiosity

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 1278-1288, Proceedings of Machine Learning Research (PMLR), Vol. 100, PMLR, 2019.

  7. 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.

  8. 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.

  9. 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.

  10. Joe Watson; Hany Abdulsamad; Jan Peters

    Stochastic Optimal Control as Approximate Input Inference

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning, Proceedings. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 697-716, Proceedings of Machine Learning Research, Vol. 100, PMLR, 2019.