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Publications

Displaying results 651 to 660 of 14517.

  1. Christoph H. Lampert; Jan Peters

    Active Structured Learning for High-Speed Object Detection

    In: Joachim Denzler; Gunther Notni; Herbert Süße (Hrsg.). Pattern Recognition, 31st DAGM Symposium, Proceedings. Annual Symposium of the German Association for Pattern Recognition (DAGM-2009), September 9-11, Jena, Germany, Pages 221-231, Lecture Notes in Computer Science, Vol. 5748, Springer, 2009.

  2. Jens Kober; Jan Peters

    Learning New Basic Movements for Robotics

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 105-112, Informatik Aktuell, Springer, 2009.

  3. Katharina Mülling; Jan Peters

    A Computational Model of Human Table Tennis for Robot Application

    In: Rüdiger Dillmann; Jürgen Beyerer; Christoph Stiller; Johann Marius Zöllner; Tobias Gindele (Hrsg.). Autonome Mobile Systeme 2009 - 21. Fachgespräch. Autonome Mobile Systeme (AMS-2009), December 3-4, Karlsruhe, Germany, Pages 57-64, Informatik Aktuell, Springer, 2009.

  4. Jan Peters; Jens Kober

    Using reward-weighted imitation for robot Reinforcement Learning

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 226-232, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

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

    Efficient data reuse in value function approximation

    In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009) Proceedings. IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL-2009), March 30 - April 2, Nashville, TN, USA, Pages 8-15, IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2761-1, IEEE, 2009.

  6. Jan Peters; Andrew Y. Ng

    Guest editorial: Special issue on robot learning, Part B

    In: Autonomous Robots, Vol. 27, No. 2, Pages 91-92, Springer, 2009.

  7. Jan Peters; Andrew Y. Ng

    Guest editorial: Special issue on robot learning, Part A

    In: Autonomous Robots, Vol. 27, No. 1, Pages 1-2, Springer, 2009.

  8. Manuel Brack; Patrick Schramowski; Björn Deiseroth; Kristian Kersting

    ILLUME: Rationalizing Vision-Language Models through Human Interactions

    In: Andreas Krause; Emma Brunskill; Kyunghyun Cho; Barbara Engelhardt; Sivan Sabato; Jonathan Scarlett (Hrsg.). International Conference on Machine Learning. International Conference on Machine Learning (ICML-2023), July 23-29, Honolulu, Hawaii, USA, Pages 3021-3037, Proceedings of Machine Learning Research, Vol. 202, PMLR, 2023.

  9. Felix Friedrich; David Steinmann; Kristian Kersting

    One Explanation Does Not Fit XIL

    In: Krystal Maughan; Rosanne Liu; Thomas F. Burns (Hrsg.). The First Tiny Papers Track at ICLR 2023. International Conference on Learning Representations (ICLR-2023), May 1-5, Kigali, Rwanda, OpenReview.net, 2023.

  10. Nandini Ramanan; Phillip Odom; Kristian Kersting; Sriraam Natarajan

    Active Feature Acquisition via Human Interaction in Relational domains

    In: Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD). Joint International Conference on Data Science & Management of Data (CODS-COMAD-23), January 4-7, Mumbai, India, Pages 70-78, ISBN 978-1-4503-9797-1, ACM, New York, NY, United States, 2023.

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