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Publications

Displaying results 141 to 150 of 681.

  1. Zihan Ye; Oleg Arenz; Kristian Kersting

    Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.11661, Pages 1-23, Computing Research Repository, 2025.

  2. Jannis Blüml; Cedric Derstroff; Bjarne Gregori; Elisabeth Dillies; Quentin Delfosse; Kristian Kersting

    Deep Reinforcement Learning via Object-Centric Attention

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.03024, Pages 1-39, Computing Research Repository, 2025.

  3. Jonas Seng; Florian Peter Busch; Pooja Prasad; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Scaling Probabilistic Circuits via Data Partitioning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.08141, Pages 1-15, Computing Research Repository, 2025.

  4. 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.

  5. 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.

  6. 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.

  7. Simon Kohaut; Felix Divo; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting

    The Constitutional Filter

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.18347, Pages 1-8, arXiv, 2024.

  8. Arseny Skryagin; Daniel Ochs; Phillip Deibert; Simon Kohaut; Devendra Singh Dhami; Kristian Kersting

    Answer Set Networks: Casting Answer Set Programming into Deep Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.14814, Pages 1-16, arXiv, 2024.

  9. Md Abdul Kadir; Gowthamkrishna Addluri; Daniel Sonntag

    Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency

    In: Dietmar Seipel; Alexander Steen. German Conference on Artificial Intelligence. Pages 90-97, Lecture Notes in Computer Science, ISBN 978-3-031-42607-0, Springer, Cham, 2023.

  10. Katharina Bendig; René Schuster; Didier Stricker

    ShapeAug: Occlusion Augmentation for Event Camera Data

    In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.

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