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Publications

Displaying results 221 to 230 of 682.

  1. 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: CoRL 2024 Workshop on Morphology-Aware Policy and Design Learning Workshop. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  2. N. Becker; K. Sovailo; C. Zhu; E. Gattung; K. Hansel; T. Schneider; Y. Zhu; Y. Hasegawa; Jan Peters

    Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation

    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. David Antony Selby; Maximilian Sprang; Jan Ewald; Sebastian Vollmer

    Beyond the black box with biologically informed neural networks

    In: Linda Koch (Hrsg.). Nature Reviews Genetics (Nat Rev Genet), Vol. NA, Pages NA-NA, Springer Nature, 3/2025.

  4. 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.

  5. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  6. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  7. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  8. Vinit Vikas Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

    Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

    In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

  9. Ankush Sinha; Antonio Macaluso; Matthias Klusch

    Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars

    In: Quantum Machine Intelligence (QMI), Vol. tba, Pages 1-34, Springer, 2025.

  10. Katharina Hengel; Achim Wagner; Martin Ruskowski

    A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

    In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), 18th IFAC Symposium on Information Control Problems in Manufacturing, August 28-30, Vienna, Austria, Elsevier, 2024.

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