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Publications

Displaying results 1771 to 1780 of 14494.
  1. Sheikh Faisal Rashid; Pascal Hürten; Insa Reichow; Lutz Goertz

    Learning Resources Metadata: Opportunities and Challenges in the German “Innovationswettbewerb INVITE” Program

    In: International Conference on Dublin Core and Metadata Applications. International Conference on Dublin Core and Metadata Applications (DCMI-2024), October 20-23, Toronto, Canada, DCMI, 2024.

  2. Autonomous mobile robot search strategy for automated compressed air leakage detection

    In: Maike Klein; Daniel Krupka; Cornelia Winter; Martin Gergeleit; Ludger Martin (Hrsg.). INFORMATIK 2024. Pages 1099-1111, ISBN 978-3-88579-746-3, Gesellschaft für Informatik e.V. Bonn, 2024.

  3. Simon Komesker; Jonathan Bartels; Achim Wagner; Martin Ruskowski

    Multi-agent Interaction Structure for Enabling Subsidiary Planning and Control in Modular Production Systems

    In: Niklas Kiefl; Frederik Wulle; Clemens Ackermann; Daniel Holder (Hrsg.). Advances in Automotive Production Technology -- Towards Software-Defined Manufacturing and Resilient Supply Chains. Stuttgart Conference on Automotive Production (SCAP), Cham, Pages 354-364, ISBN 978-3-031-27933-1, Springer International Publishing, 2023.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. F. Hahne; Prasad V.; Kshirsagar A.; Koert D.; Stock-Homburg R. M.; Jan Peters; Chalvatzaki G.

    Transition State Clustering for Interaction Segmentation and Learning

    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.

  10. C. Derstroff; J. Brugger; M. Cerrato; Jan Peters; S. Kramer

    Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

    In: The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24). AAAI Conference on Artificial Intelligence (AAAI-2024), AAAI Press, Washington, DC, USA, 2024.