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Publikationen

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  1. 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, ISBN 978-3-939818-93-9, Berlin-Brandenburgische Akademie der Wissenschaften, 2020.

  2. 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.

  3. Johannes Lahann; Martin Scheid; Peter Fettke

    Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques

    In: Tung Bui; Ralph Sprague (Hrsg.). Proceedings of the 53rd Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2020), January 7-10, Maui, HI, USA, ISBN 978-0-9981331-3-3, IEEE Computer Society, 2020.

  4. Adrian Rebmann; Andreas Emrich; Peter Fettke

    Enabling the Discovery of Manual Processes using a Multi-modal Activity Recognition Approach

    In: Chiara Di Francescomarino; Dijkman Remco; Zdun Uwe (Hrsg.). Business Process Management Workshops. International Workshop on Business Processes Meet the Internet-of-Things (BP-Meet-IoT-2019), located at 17th Int. Conference on Business Process Management, September 2, Vienna, Austria, Pages 130-141, LNBIP, Vol. 362, Springer International Publishing, Cham, 1/2020.

  5. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    A Differentiable Newton Euler Algorithm for Multi-body Model Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.09802, Pages 0-10, arXiv, 2020.

  6. Andreas Look; Simona Doneva; Melih Kandemir; Rainer Gemulla; Jan Peters

    Differentiable Implicit Layers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.07078, Pages 0-10, arXiv, 2020.

  7. Andreas Look; Chen Qiu; Maja Rudolph; Jan Peters; Melih Kandemir

    Deterministic Inference of Neural Stochastic Differential Equations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.08973, Pages 0-10, arXiv, 2020.

  8. Riad Akrour; Davide Tateo; Jan Peters

    Reinforcement Learning from a Mixture of Interpretable Experts

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05911, Pages 0-10, arXiv, 2020.

  9. Nikolaos Gkanatsios; Georgia Chalvatzaki; Petros Maragos; Jan Peters

    Orientation Attentive Robot Grasp Synthesis

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05123, Pages 0-10, arXiv, 2020.

  10. Andrea Cini; Carlo D'Eramo; Jan Peters; Cesare Alippi

    Deep Reinforcement Learning with Weighted Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.09280, Pages 0-10, arXiv, 2020.

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