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Publikationen

 

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  1. Melvin Laux; Oleg Arenz; Jan Peters; Joni Pajarinen

    Deep Adversarial Reinforcement Learning for Object Disentangling

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  2. Nils Rottmann; Tjasa Kunavar; Jan Babic; Jan Peters; Elmar Rueckert

    Learning Hierarchical Acquisition Functions for Bayesian Optimization

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  3. Julen Urain; Michele Ginesi; Davide Tateo; Jan Peters

    ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  4. 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 …

  5. 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 …

  6. 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 …

  7. 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 …

  8. Argtim Tika; Nigora Gafur; Vassilios Yfantis; N. Bajcinca

    Optimal Scheduling and Model Predictive Control for Trajectory Planning of Cooperative Robot Manipulators

    In: IFAC-PapersOnLine, Vol. 53, Pages 9080-9086, IFAC, 1/2020.

  9. Ferdinand Küsters; Peter Schichtel; Sheraz Ahmed; Andreas Dengel

    Conceptual Explanations of Neural Network Prediction for Time Series

    In: IJCNN. International Joint Conference on Neural Networks (IJCNN), IEEE, 2020.

  10. Birgit Beck; Aljoscha Burchardt

    Alle reden von ethischer KI – aber was meinen sie damit?

    In: Christoph Markschies; Isabella Hermann (Hrsg.). #Verantwortung KI – Künstliche Intelligenz und gesellschaftliche Folgen. Pages 22-28, Vol. 3/2020, …