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Publications

Displaying results 2021 to 2030 of 15123.

  1. Viktor Pfanschilling; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    NeST: The neuro-symbolic transpiler

    In: International Journal of Approximate Reasoning (IJAR), Vol. 179, Pages 1-22, Sciencedirect.com, 2025.

  2. Abdullah Farrukh; Achim Wagner; Martin Ruskowski

    Enabling Generic Robot Skill Implementation Using Object Oriented Programming

    In: Kosta Jovanovic; Aleksandar Rodic; Mirko Rakovic (Hrsg.). Advances in Service and Industrial Robotics. International Conference on Robotics in Alpe-Adria-Danube Region (RAAD-2025), Cham, Pages 422-430, ISBN 978-3-032-02106-9, Springer Nature Switzerland, 9/2025.

  3. Florian Peter Busch; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    Elucidating linear programs by neural encodings

    In: Georgios Leontidis (Hrsg.). Frontiers in Artificial Intelligence, Vol. 8, Pages 1-14, Frontiers Media SA, 6/2025.

  4. Nika Strem; Devendra Singh Dhami; Benedikt Schmidt; Benjamin Klöpper; Kristian Kersting

    APT: Alarm Prediction Transformer

    In: Expert Systems with Applications (ESWA), Vol. 261, Pages 1-13, Elsevier, 2025.

  5. Nika Strem; Devendra Singh Dhami; Benedikt Schmidt; Kristian Kersting

    Multimodal transformer for early alarm prediction

    In: Engineering Applications of Artificial Intelligence, Vol. 139, Part B, Pages 1-11, Elsevier, 1/2025.

  6. Jo~ao Carvalho; An T. Le; Piotr Kicki; Dorothea Koert; Jan Peters

    Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4881-4901, arXiv, 2025.

  7. Vignesh Prasad; Lea Heitlinger; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

    Learning Multimodal Latent Dynamics for Human-Robot Interaction

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4418-4438, arXiv, 2025.

  8. Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters; Martin W. Hoffmann

    Machine Learning with Physics Knowledge for Prediction: A Survey

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-61, arXiv, 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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