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Publications

Displaying results 1421 to 1430 of 14915.

  1. Anish Abhijit Diwan; Julen Urain; Jens Kober; Jan Peters

    Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation

    In: The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025. International Conference on Learning Representations (ICLR), Pages 1-22, OpenReview.net, 2025.

  2. Dyuman Aditya; Junning Huang; Nico Bohlinger; Piotr Kicki; Krzysztof Walas; Jan Peters; Matteo Luperto; Davide Tateo

    Robust Localization, Mapping, and Navigation for Quadruped Robots

    In: Antonios Gasteratos; Nicola Bellotto; Stefano Tortora (Hrsg.). European Conference on Mobile Robots, ECMR 2025, Padova, Italy, September 2-5, 2025. European Conference on Mobile Robots (ECMR), Pages 1-8, IEEE, 2025.

  3. Haoran Ding; Noémie Jaquier; Jan Peters; Leonel Rozo

    Fast and Robust Visuomotor Riemannian Flow Matching Policy

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 5327-5343, arXiv, 2025.

  4. 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.

  5. 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.

  6. 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.

  7. Jonas Seng; Fabrizio Ventola; Zhongjie Yu; Kristian Kersting

    Hyperparameter Optimization via Interacting with Probabilistic Circuits

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.17804, Pages 1-39, Computing Research Repository, 2025.

  8. Nick Kocher; Christian Wassermann; Leona Hennig; Jonas Seng; Holger H. Hoos; Kristian Kersting; Marius Lindauer; Matthias S. Müller

    Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.15631, Pages 1-10, Computing Research Repository, 2025.

  9. 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.

  10. 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.

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