Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 951 bis 960 von 15019.

  1. Rebecca J Herman; Jonas Wahl; Urmi Ninad; Jakob Runge

    Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery

    In: Proceedings of the Fourth Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2025), Pages 1506-1531, PMLR, Vol. 275, MLResearchPress, 2025.

  2. Al-Harith Farhad; Khalil Abuibaid; Christiane Plociennik; Achim Wagner; Martin Ruskowski

    Generative Grasp Detection and Estimation with Concept Learning-Based Safety Criteria

    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 541-550, ISBN 978-3-032-02106-9, Springer Nature Switzerland, 2025.

  3. Eike Rodenbäck; Christoph Manss; Janina Schneider; Frederic Theodor Stahl

    Evaluation of Aquatic Plant Detection with Remote Sensing using Onboard Camera

    In: 2025 13th European Workshop on Visual Information Processing (EUVIP). European Workshop on Visual Information Processing (EUVIP-2025), October 13-16, Valetta, Malta, IEEE Xplore, New Jersey, 12/2025.

  4. Miro Miranda Lorenz; Marcela Charfuelan Oliva; Matias Valdenegro-Toro; Andreas Dengel

    Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction

    In: PAIS. European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, Pages 5384-5391, IOS Press, 2025.

  5. Nico Bohlinger; Jonathan Kinzel; Daniel Palenicek; Lukasz Antczak; Jan Peters

    Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.08375, Pages 1-8, arXiv, 2025.

  6. Maximilian Tölle; Theo Gruner; Daniel Palenicek; Jonas Günster; Puze Liu; Joe Watson; Davide Tateo; Jan Peters

    Towards Safe Robot Foundation Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.07404, Pages 1-3, arXiv, 2025.

  7. Khang Nguyen; An T. Le; Tien Pham; Manfred Huber; Jan Peters; Minh Nhat Vu

    FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.06135, Pages 1-7, arXiv, 2025.

  8. 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.

  9. 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.

  10. 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.

Jahr

Mehr Optionen