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Publikationen

Zeige Ergebnisse 21 bis 30 von 595
  1. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Self-Paced Deep Reinforcement Learning

    In: Hugo Larochelle; Marc'Aurelio Ranzato; Raia Hadsell; Maria-Florina Balcan; Hsuan-Tien Lin (Hrsg.). Advances in Neural Information Processing …

  2. Hany Abdulsamad; Jan Peters

    Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation

    In: Alexandre M. Bayen; Ali Jadbabaie; George J. Pappas; Pablo A. Parrilo; Benjamin Recht; Claire J. Tomlin; Melanie N. Zeilinger (Hrsg.). Proceedings …

  3. 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 …

  4. 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, …

  5. 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 …

  6. 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 …

  7. 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 …

  8. 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 …

  9. 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 …

  10. 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 …