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Year: 2020
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Displaying results 11 to 20 of 599.

  1. Tuan Dam; Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Generalized Mean Estimation in Monte-Carlo Tree Search

    In: Christian Bessiere (Hrsg.). Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2020), Pages 2397-2404, ijcai.org, 2020.

  2. Christoph Zelch; Jan Peters; Oskar von Stryk

    Learning Control Policies from Optimal Trajectories

    In: 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020. IEEE International Conference on Robotics and Automation (ICRA), Pages 2529-2535, IEEE, 2020.

  3. Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters

    Sharing Knowledge in Multi-Task Deep Reinforcement Learning

    In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. International Conference on Learning Representations (ICLR), OpenReview.net, 2020.

  4. Ruth Stock-Homburg; Jan Peters; Katharina Schneider; Vignesh Prasad; Lejla Nukovic

    Evaluation of the Handshake Turing Test for anthropomorphic Robots

    In: Tony Belpaeme; James E. Young; Hatice Gunes; Laurel D. Riek (Hrsg.). Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020, Cambridge, UK, March 23-26, 2020. ACM/IEEE International Conference on Human-Robot Interaction (HRI), Pages 456-458, ACM, 2020.

  5. Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters

    Learning Sequential Force Interaction Skills

    In: Robotics, Vol. 9, No. 2, Pages 0-10, MDPI, 2020.

  6. Joni Pajarinen; Oleg Arenz; Jan Peters; Gerhard Neumann

    Probabilistic Approach to Physical Object Disentangling

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 4, Pages 5510-5517, IEEE, 2020.

  7. Mikko Lauri; Joni Pajarinen; Jan Peters; Simone Frintrop

    Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 4, Pages 5323-5330, IEEE, 2020.

  8. Kurena Motokura; Masaki Takahashi; Marco Ewerton; Jan Peters

    Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 3275-3282, IEEE, 2020.

  9. Stefan Löckel; Jan Peters; Peter van Vliet

    A Probabilistic Framework for Imitating Human Race Driver Behavior

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 2086-2093, IEEE, 2020.

  10. Leon Keller; Daniel Tanneberg; Svenja Stark; Jan Peters

    Model-Based Quality-Diversity Search for Efficient Robot Learning

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 9675-9680, IEEE, 2020.

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