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Displaying results 71 to 80 of 12937.

  1. Tilman Becker; Anselm Blocher; Isabel Bücker; Marvin Drewel; Andreas Faath; Tobias Harland; Mario Hermann; Gerd Herzog; Christian Hocken; Philipp Jussen; Ulrike Krebs; Maximilian Lukas; Benedikt Moser; Katrin Pitz; Daniel Porta; Jan Reschke; Sebastian Schmitz; Moritz Schröter; Moritz Weber; Lucas Wenger; Alexander Werbig; Johannes Winter; Violett Zeller; Günther Schuh; Reiner Anderl; Jürgen Gausemeier; Michael ten Hompel; Wolfgang Wahlster

    Industrie 4.0 Maturity Index [eng.]

    Managing the Digital Transformation of Companies, ISBN 978-3-8316-7314-8, Herbert Utz Verlag, München, 6/2017.

  2. Tilman Becker; Anselm Blocher; Isabel Bücker; Marvin Drewel; Andreas Faath; Tobias Harland; Mario Hermann; Gerd Herzog; Christian Hocken; Philipp Jussen; Ulrike Krebs; Maximilian Lukas; Benedikt Moser; Katrin Pitz; Daniel Porta; Jan Reschke; Sebastian Schmitz; Moritz Schröter; Moritz Weber; Lucas Wenger; Alexander Werbig; Johannes Winter; Violett Zeller; Günther Schuh; Reiner Anderl; Jürgen Gausemeier; Michael ten Hompel; Wolfgang Wahlster

    Industrie 4.0 Maturity Index [dt.]

    Die digitale Transformation von Unternehmen gestalten, ISBN 978-3-8316-4611-1, Herbert Utz Verlag, 2017.

  3. Khurram Azeem Hashmi; Goutham Kallempudi; Didier Stricker; Muhammad Zeshan Afzal

    FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision

    In: International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE, 10/2023.

  4. Amr Gomaa; Michael Feld

    Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems

    In: AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML). AI&HCI Workshop @ ICML, located at icml, July 29, Honolulu, …

  5. Théo Vincent; Boris Belousov; Carlo D'Eramo; Jan Peters (Hrsg.)

    Iterated Deep Q-Network: Efficient Learning of Bellman Iterations for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2023), European Workshop on Reinforcement Learning, 2023.

  6. Shangding Gu; Alap Kshirsagar; Yali Du; Guang Chen; Yaodong Yang; Jan Peters; Alois C. Knoll

    A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2302.13137, Pages 0-10, arXiv, 2023.

  7. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. abs/2301.04330, Pages 0-10, IEEE, 2023.

  8. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Model-Based Uncertainty in Value Functions

    In: Francisco J. R. Ruiz; Jennifer G. Dy; Jan-Willem van de Meent (Hrsg.). International Conference on Artificial Intelligence and Statistics. …

  9. Andreas Look; Barbara Rakitsch; Melih Kandemir; Jan Peters

    Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems

    In: Transactions on Machine Learning Research, Vol. 2023, Pages 0-10, JMLR, 2023.

  10. Paavo Parmas; Carl Edward Rasmussen; Jan Peters; Kenji Doya

    PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

    In: Jennifer G. Dy; Andreas Krause (Hrsg.). Proceedings of the 35th International Conference on Machine Learning. International Conference on Machine …

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