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Publications

Displaying results 811 to 820 of 14521.

  1. 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.

  2. Muhammad Saif Ullah Khan; Muhammad Zeshan Afzal; Didier Stricker

    SituationalLLM: Proactive Language Models with Scene Awareness for Dynamic, Contextual Task Guidance [version 1; peer review: 2 approved with reservations]

    In: Open Research Europe, Vol. 5, No. 61, Pages 1-14, Open Research Europe, 3/2025.

  3. P. Holzmann; M. Maik Pfefferkorn; Jan Peters; R. Findeisen

    Learning Energy-Efficient Trajectory Planning for Robotic Manipulators using Bayesian Optimization

    In: Proceedings of the European Control Conference (ECC). European Control Conference (ECC-2024), Institute of Electrical and Electronics Engineers (IEEE), 2024.

  4. Y. Weng; S. Chun; M. Ohashi; T. Matsuda; Y. Sekimoria; J. Pajarinen; Jan Peters; T. Maki

    Autonomous Underwater Vehicle Link Alignment Control in Unknown Environments Using Reinforcement Learning

    In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, John Wiley & Sons Inc. 2024.

  5. Afef Awadid; André Meyer-Vitali; Dominik Vereno; Maxence Gagnant

    RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture

    In: Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration. International Conference on Model-Driven Engineering and Software Development (MODELSWARD-2025), MBSE-AI Integration, February 26-28, Porto, Portugal, Pages 466-473, ISBN 978-989-758-729-0, SciTePress, 2/2025.

  6. André Meyer-Vitali

    Multi-Agent Causal Reinforcement Learning

    In: Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration. International Conference on Model-Driven Engineering and Software Development (MODELSWARD-2025), MBSE-AI Integration, February 26-28, Porto, Portugal, Pages 435-442, ISBN 978-989-758-729-0, SciTePress, 2/2025.

  7. V. Prasad; A Kshirsagar; D. Koert; R. Stock-Homburg; Jan Peters; G. Chalvatzaki

    MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 7, Pages 6043-6050, IEEE, 2024.

  8. F. Al-Hafez; G. Zhao; Jan Peters; D. Tateo

    Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

    In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 12TH 2024. (ICLR 2024). International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2024.

  9. A. Hendawy; Jan Peters; C. D'Eramo

    Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

    In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 12TH 2024. International Conference on Learning Representations (ICLR-2024), International Conference on Learning Representations (ICLR), 2024.

  10. Y. Goeksu; A. Almeida-Correia; V. Prasad; A. Kshirsagar; D. Koert; Jan Peters; G. Chalvatzaki

    Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion). ACM/IEEE International Conference on Human-Robot Interaction (HRI-2024), Association for Computing Machinery, 2024.

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