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Publications

Displaying results 1881 to 1890 of 14394.

  1. Jiayun Li; Kay Pompetzki; An T. Le; Haolei Tong; Jan Peters; Georgia Chalvatzaki

    Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.04936, Pages 1-14, arXiv, 2025.

  2. Leonhard Keller; Daniel Tanneberg; Jan Peters

    Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.21406, Pages 1-8, arXiv, 2025.

  3. Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; Jong-Kook Kim; Gian Antonio Susto; Shubham Vyas; Dennis Mronga; Boris Belousov; Jan Peters; Frank Kirchner; Shivesh Kumar

    Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.15290, Pages 1-8, arXiv, 2025.

  4. 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.

  5. 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.

  6. Mathias Trampler; Marc Tabie; Frank Kirchner; Elsa Andrea Kirchner

    Exoskeleton based microgravity simulation for astronaut training

    In: MDPI Engineering Proceedings (E-ISSN 2673-459). EASN International Conference on Innovation in Aviation & Space towards Sustainability Today & Tomorrow (EASN-2025), 15th, October 14-17, Madrid, Spain, MDPI, 2026.

  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.

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