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Publications

Displaying results 21 to 30 of 504.
  1. Jens Kober; J. Andrew Bagnell; Jan Peters

    Reinforcement learning in robotics: A survey

    In: International Journal of Robotics Research (IJRR), Vol. 32, No. 11, Pages 1238-1274, Sage Publications, 2013.

  2. Zhikun Wang; Katharina Mülling; Marc Peter Deisenroth; Heni Ben Amor; David Vogt; Bernhard Schölkopf; Jan Peters

    Probabilistic movement modeling for intention inference in human-robot interaction

    In: International Journal of Robotics Research (IJRR), Vol. 32, No. 7, Pages 841-858, Sage Publications, 2013.

  3. Katharina Mülling; Jens Kober; Oliver Kroemer; Jan Peters

    Learning to select and generalize striking movements in robot table tennis

    In: International Journal of Robotics Research (IJRR), Vol. 32, No. 3, Pages 263-279, Sage Publications, 2013.

  4. Marc Peter Deisenroth; Gerhard Neumann; Jan Peters

    A Survey on Policy Search for Robotics

    In: Foundations and Trends in Robotics, Vol. 2, No. 1-2, Pages 1-142, Now Publishers, 8/2013.

  5. Peter Englert; Alexandros Paraschos; Marc Peter Deisenroth; Jan Peters

    Probabilistic model-based imitation learning

    In: Adaptive Behavior, Vol. 21, No. 5, Pages 388-403, Sage Publications, 2013.

  6. Alexandros Paraschos; Christian Daniel; Jan Peters; Gerhard Neumann

    Probabilistic Movement Primitives

    In: Christopher J. C. Burges; Léon Bottou; Zoubin Ghahramani; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Neural Information Processing Systems (NeurIPS-2013), December 5-8, Lake Tahoe, Nevada, USA, Pages 2616-2624, Curran Associates, Inc. 2013.

  7. Mayank Bhargava; Tim Polzehl

    Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature

    In: Mayank Bhargava; Tim Polzehl (Hrsg.). ICECIT. Pages 1-8, Vol. abs/1303.1761, ISBN 2229-3116, Elsevier, 2013.

  8. Matthias Kreil; Kristof Van Laerhoven; Paul Lukowicz

    Allowing early inspection of activity data from a highly distributed bodynet with a hierarchical-clustering-of-segments approach

    In: Body Sensor Networks (BSN), 2013 IEEE International Conference on. IEEE International Conference on Body Sensor Networks (BSN-2013), May 6-9, Cambridge, MA, USA, Pages 1-6, ISBN 978-1-4799-0331-3 , IEEE, 2013.

  9. Martin Wirz; Tobias Franke; Eve Mitleton-Kelly; Daniel Roggen; Paul Lukowicz; Gerhard Tröster

    Coenosense: A framework for real-time detection and visualization of collective behaviors in human crowds by tracking mobile devices

    In: Proceedings of the European Conference on Complex Systems 2012. European Conference on Complex Systems (ECCS-2012), Brussels, Belgium, Pages 353-361, ISBN 978-3-319-00394-8, Springer, Heidelberg, 2013.

  10. Martin Wirz; Eve Mitleton-Kelly; Tobias Franke; Vanessa Camilleri; Matthew Montebello; Daniel Roggen; Paul Lukowicz; Gerhard Troster

    Using mobile technology and a participatory sensing approach for crowd monitoring and management during large-scale mass gatherings

    In: Eve Mitleton-Kelly (Hrsg.). Co-Evolution of Intelligent Socio-Technical Systems: Modelling and Applications in Large Scale Emergency and Transport Domains. Pages 61-77, ISBN 978-3-642-36613-0, Springer, Berlin Heidelberg, 2013.