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Publications

Displaying results 1561 to 1570 of 14617.

  1. C.E. Luis; A.G. Bottero; J. Vinogradska; F. Berkenkamp; Jan Peters

    Value-Distributional Model-Based Reinforcement Learning

    In: Journal of Machine Learning Research, Vol. 25, No. 298, Pages 1-42, Journal of Machine Learning Research (JMLR), 2024.

  2. D. Palenicek; T. Gruner; T. Schneider; A. Böhm; J. Lenz; I. Pfenning; E. Krämer; Jan Peters

    Learning Tactile Insertion in the Real World

    In: 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40). IEEE International Conference on Robotics and Automation (ICRA-2024), IEEE, 2024.

  3. P. Jansonnie; B. Wu; J. Perez; Jan Peters

    Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation

    In: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2024), IEEE, 2024.

  4. H.J. Geiss; F. Al-Hafez; A. Seyfarth; Jan Peters; D. Tateo

    Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion

    In: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2024), IEEE, 2024.

  5. M. Drolet; S. Stepputtis; S. Kailas; A. Jain; S. Schaal; Jan Peters; H. Ben Amor

    A Comparison of Imitation Learning Algorithms for Bimanual Manipulation

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, Pages 8579-8586, IEEE, 2024.

  6. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: Proceedings of The 8th Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), PMLR, 2024.

  7. F. Herrmann; S.B. Zach; J. Banfi; Jan Peters; G. Chalvatzaki; D. Tateo

    Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, Pages 9327-9334, IEEE, 2024.

  8. Tatjana Legler; Vinit Vikas Hegiste; Ahmed Anwar; Martin Ruskowski

    Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment

    2024.

  9. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  10. Marco Simon; Jesko Hermann; Simon Jungbluth; Alexander Witton; Magnus Volkmann; Alexander Belyaev; Chris Urban; Christian Diedrich; Pascal Rübel; Martin Ruskowski

    Realisierung einer Shared Production: Integration von Plattform Industrie 4.0 und Gaia-X-Konzepten

    In: atp magazin, Vol. 65, No. 6-7, Pages 99-109, atp magazin, 2023.

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