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Publikationen

Zeige Ergebnisse 951 bis 960 von 15217.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. An Thai Le; Khai Nguyen; Minh Nhat Vu; Joao Carvalho; Jan Peters

    Model Tensor Planning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-24, arXiv, 2025.

  6. Nicholas Tagliapietra; Juergen Luettin; Lavdim Halilaj; Moritz Willig; Tim Pychynski; Kristian Kersting

    CausalMan: A physics-based simulator for large-scale causality

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.12707, Pages 1-32, Computing Research Repository, 2025.

  7. Rupert Mitchell; Antonio Alliegro; Raffaello Camoriano; Dustin Carrión-Ojeda; Antonio Carta; Georgia Chalvatzaki; Nikhil Churamani; Carlo D'Eramo; Samin Hamidi; Robin Hesse; Fabian Hinder; Roshni Kamath; Vincenzo Lomonaco; Subarnaduti Paul; Francesca Pistilli; Tinne Tuytelaars; Gido M. van de Ven; Kristian Kersting; Simone Schaub-Meyer; Martin Mundt

    Continual Learning Should Move Beyond Incremental Classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11927, Pages 1-11, Computing Research Repository, 2025.

  8. Harsh Poonia; Felix Divo; Kristian Kersting; Devendra Singh Dhami

    Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.09981, Pages 1-24, Computing Research Repository, 2025.

  9. 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.

  10. Alexander Schultheis; Benjamin Alt; Sebastian Bast; Achim Guldner; David Jilg; Darko Katic; Johannes Mundorf; Tobias Schlagenhauf; Sebastian Weber; Ralph Bergmann; Simon Bergweiler; Lars Creutz; Guido Dartmann; Lukas Malburg; Stefan Naumann; Mahdi Rezapour; Martin Ruskowski

    EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Pages 161-166, Springer, 6/2025.

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