Skip to main content Skip to main navigation

Publikationen

Aktive Filter:

Jahr: 2019
Alle Filter entfernen
Zeige Ergebnisse 31 bis 40 von 576.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Mikko Lauri; Joni Pajarinen; Jan Peters

    Information Gathering in Decentralized POMDPs by Policy Graph Improvement

    In: Edith Elkind; Manuela Veloso; Noa Agmon; Matthew E. Taylor (Hrsg.). AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19), May 13-17, Montreal, QC, Canada, Pages 1143-1151, ISBN 978-1-4503-6309-9, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2019.

  6. Boris Belousov; Jan Peters

    Entropic regularization of markov decision processes

    In: Entropy, Vol. 21, No. 7, Pages 1-16, MDPI, 7/2019.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

Jahr