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Publikationen

Zeige Ergebnisse 1271 bis 1280 von 15035.

  1. Jan Speller; Malte Luttermann; Marcel Gehrke; Tanya Braun

    Towards Explainability of Approximate Lifted Model Construction: A Geometric Perspective

    In: Sylvia Melzer; Hagen Peukert; Stefan Thiemann; Magnus Bender; Özgür L. Özçep; Nele Russwinkel; Kai Sauerwald; Diedrich Wolter (Hrsg.). Proceedings of the Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning co-located with 48th German Conference on Artificial Intelligence. Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning (CHAI and FCR-2025), located at 48th German Conference on Artificial Intelligence (KI-2025), September 16-19, Potsdam, Germany, Pages 41-56, Vol. 4058, CEUR, 10/2025.

  2. Fei Chen; Sunita Saha; Manuela Schuler; Philipp Slusallek; Tim Dahmen

    im2im: Automatically Converting In-Memory Image Representations using a Knowledge Graph Approach

    In: Proceedings of the ACM on Programming Languages. International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA-2025), October 12-18, Singapore, Pages 248-273, Vol. 9, No. OOPSLA2, Association for Computing Machinery, New York, NY, USA, 10/2025.

  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: IEEE Robotics & Automation Magazine (RAM), Vol. XX, Pages 2-12, IEEE, 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. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Fabian Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters; Oliver Weeger

    Stable Port-Hamiltonian Neural Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02480, Pages 1-15, arXiv, 2025.

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