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Publications

Displaying results 221 to 230 of 662.
  1. The Importance of Facial Features in Vision-based Sign Language Recognition: Eyes, Mouth or Full Face?

    In: ACM International Conference on Intelligent Virtual Agents (IVA Adjunct ’25). International Workshop on Sign Language Translation and Avatar Technology (SLTAT-2025), 9th International Workshop on Sign Language Translation and Avatar Technology, located at IVA-2025, September 16, Berlin, Germany, ISBN 979-8-4007-1996-7/25/09, ACM, 9/2025.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.04064, Pages 1-17, arXiv, 2024.