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Publikationen

Zeige Ergebnisse 1 bis 10 von 599.
  1. A holistic approach for value-added interaction modelling in flexible manufacturing systems

    In: Procedia Manufacturing, Vol. 51, Pages 1245-1250, ELSEVIER, 2020.

  2. Abraham Imohiosen; Joe Watson; Jan Peters

    Active Inference or Control as Inference? A Unifying View

    In: Tim Verbelen; Pablo Lanillos; Christopher L. Buckley; Cedric De Boom (Hrsg.). Active Inference - First International Workshop. International Workshop on Active Inference (IWAI-2020), September 14, Ghent, Belgium, Pages 12-19, Communications in Computer and Information Science, Vol. 1326, Springer, 2020.

  3. Allan Almeida Santos; Edwin Mora; Jan Peters; Florian Steinke

    Decentralized Data-Driven Tuning of Droop Frequency Controllers

    In: IEEE PES Innovative Smart Grid Technologies Europe. IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe-2020), October 26-28, Delft, Netherlands, Pages 141-145, IEEE, 2020.

  4. 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.

  5. Anton Ziese; Mario Daniele Fiore; Jan Peters; Uwe E. Zimmermann; Jürgen Adamy

    Redundancy resolution under hard joint constraints: a generalized approach to rank updates

    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 7447-7453, IEEE, 2020.

  6. 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 (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5504-5510, IEEE, 2020.

  7. 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 (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5490-5496, IEEE, 2020.

  8. 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 (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5231-5237, IEEE, 2020.

  9. 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.

  10. 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.