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Displaying results 31 to 40 of 533.
  1. Goce Trajcevski; Oliviu Ghica; René Schubotz; Marco Zuniga; Manfred Hauswirth; Peter Scheuermann

    Discrepancy and Multipath Routing in Wireless Sensor Networks - Semantic Scholar

    Technical Report, Northwestern University, Northwestern University Technical Reports, Vol. NWU-EECS-09-18, 2009.

  2. Udo Frese; Tim Laue; Oliver Birbach; Jörg Kurlbaum; Thomas Röfer

    (A) Vision for 2050 Context-Based Image Understanding for a Human-Robot Soccer Match

    In: Berthold Hoffmann; Till Mossakowski; Lutz Schröder. Festkolloquium for Bernd Krieg-Brückner's 60th birthday. Pages 273-289, Sichere Kognitive …

  3. Thomas Röfer; Tim Laue; Judith Müller; Oliver Bösche; Armin Burchardt; Eric Damrose; Katharina Gillmann; Colin Graf; Thijs Jeffry de Haas; Alexander Härtl; Andrik Rieskamp; André Schreck; Ingo Sieverdingbeck et al.

    B-Human Team Report and Code Release 2009


  4. Thomas Röfer; Christian Mandel; Axel Lankenau; Bernd Gersdorf; Udo Frese

    15 Years of Rolland

    In: Berthold Hoffmann; Till Mossakowski; Lutz Schröder. Festschrift Dedicated to Bernd Krieg-Brückner on the Occasion of his 60th Birthday. Pages …

  5. Matthew Hoffman; Nando de Freitas; Arnaud Doucet; Jan Peters

    An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward

    In: David A. Van Dyk; Max Welling (Hrsg.). Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics. …

  6. Jan Peters; Jun Morimoto; Russ Tedrake; Nicholas Roy

    Robot learning [TC Spotlight]

    In: IEEE Robotics & Automation Magazine, Vol. 16, No. 3, Pages 19-20, IEEE, 2009.

  7. Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters

    Adaptive importance sampling for value function approximation in off-policy reinforcement learning

    In: Neural Networks, Vol. 22, No. 10, Pages 1399-1410, Elsevier, 2009.

  8. Marc Peter Deisenroth; Carl Edward Rasmussen; Jan Peters

    Gaussian process dynamic programming

    In: Neurocomputing, Vol. 72, No. 7-9, Pages 1508-1524, Elsevier, 2009.

  9. Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters

    Model Learning with Local Gaussian Process Regression

    In: Advanced Robotics, Vol. 23, No. 15, Pages 2015-2034, Taylor & Francis Online, 2009.

  10. Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters

    09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments

    In: Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters (Hrsg.). 09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation …