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Publications

Displaying results 311 to 320 of 571.

  1. 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.

  2. 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.

  3. 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. International Conference on Artificial Intelligence and Statistics (AISTATS), Pages 8029-8052, Proceedings of Machine Learning Research, Vol. 206, PMLR, 2023.

  4. Nabeel Khalid; Tiago Comassetto Froes; Maria Caroprese; Gillian Lovell; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis

    In: ICANN 2023. International Conference on Artificial Neural Networks (ICANN-2023), 32nd International Conference on Artificial Neural Networks, located at ICANN 2023, September 26-29, Heraklion, Crete, Greece, Springer, 9/2023.

  5. Naeem Iqbal; Mark Niemeyer; Jan Christoph Krause; Joachim Hertzberg

    Scalable Evaluation Pipeline of CNN-based perception for Robotic Sensor Data under different Environment Conditions

    In: 2023 European Conference on Mobile Robots. European Conference on Mobile Robots (ECMR-2023), September 4-7, Coimbra, Portugal, IEEE, 2023.

  6. Dinh Nam Pham; Vera Czehmann; Eleftherios Avramidis

    Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions

    In: Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-2023), October 4-6, Bruges, Belgium, ISBN 978-2-87587-088-9. i6doc.com publ. 10/2023.

  7. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

  8. Michael Lutter; Boris Belousov; Kim Listmann; Debora Clever; Jan Peters

    HJB optimal feedback control with deep differential value functions and action constraints

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 640-650, Proceedings of Machine Learning Research (PMLR), Vol. 100, PMLR, 2019.

  9. Michael Lutter; Debora Clever; Boris Belousov; Kim Listmann; Jan Peters

    Evaluating the Robustness of HJB Optimal Feedback Control

    In: International Symposium on Robotics. International Symposium on Robotics (ISR-2020), 52th, December 9-10, Pages 1-8, VDE, 2020.

  10. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 27-36, eCAADe, 2021.

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