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Publications

Displaying results 61 to 70 of 682.

  1. Snehal Walunj; Parsha Pahlevannejad; Michael Sintek; Juan Carlos Saborio; Prerna Garg; Hooman Tavakoli Ghinani; Christiane Plociennik; Nicolas Grossmann; Ansgar Bernardi; Martin Ruskowski; Joachim Hertzberg; Andreas Dengel

    Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin

    In: Dhananjay Singh; Jan-Willem van 't Klooster; Uma Shanker Tiwary (Hrsg.). Intelligent Human Computer Interaction. IADIS International Conference on Interfaces and Human Computer Interaction (IHCI-2024), May 29, Cham, Pages 92-104, ISBN 978-3-031-88705-5, Springer Nature Switzerland, 5/2025.

  2. Luis Octavio Arriaga Camargo; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters; Frank Kirchner

    Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    In: Leilani Gilpin; Eleonora Giunchiglia; Pascal Hitzler; Emile van Krieken (Hrsg.). Neurosymbolic Artificial Intelligence, Pages 1-19, IOS Press, 2025.

  3. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    Personalised and Contextualised Image Captioning: Human-in-the-Loop Design and Evaluation

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 2025.

  4. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    CUTIE: A human-in-the-loop interface for the generation of personalised and contextualised image captions

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 9/2025.

  5. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De emphQ-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.01437, Pages 1-26, arXiv, 2025.

  6. Nico Bohlinger; Jan Peters

    Massively Scaling Explicit Policy-conditioned Value Functions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11949, Pages 1-5, arXiv, 2025.

  7. Daniel Palenicek; Florian Vogt; Jan Peters

    Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.07523, Pages 1-23, arXiv, 2025.

  8. Claudius Kienle; Benjamin Alt; Darko Katic; Rainer Jäkel; Jan Peters

    QueryCAD: Grounded Question Answering for CAD Models

    In: IEEE International Conference on Robotics and Automation, ICRA 2025, Atlanta, GA, USA, May 19-23, 2025. IEEE International Conference on Robotics and Automation (ICRA), Pages 5798-5805, IEEE, 2025.

  9. Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters; Carlo D'Eramo

    Iterated emphQ-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, arXiv, 2025.

  10. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-31, arXiv, 2025.

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