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Publications

Displaying results 251 to 260 of 3946.

  1. Nico Bohlinger; Jan Peters

    Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.02815, Pages 1-5, arXiv, 2025.

  2. Magnus Dierking; Christopher E. Mower; Sarthak Das; Helong Huang; Jiacheng Qiu; Cody Reading; Wei Chen; Huidong Liang; Guowei Huang; Xingyue Quan; Jun Wang; Haitham Bou-Ammar; Jan Peters

    Ark: An Open-source Python-based Framework for Robot Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.21628, Pages 1-29, arXiv, 2025.

  3. Lucas Schulze; Jan Peters; Oleg Arenz

    Context-Aware Deep Lagrangian Networks for Model Predictive Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.15249, Pages 1-8, arXiv, 2025.

  4. Khang Nguyen; An T. Le; Jan Peters; Minh Nhat Vu

    DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.12095, Pages 1-8, arXiv, 2025.

  5. Tim Schneider; Guillaume Duret; Cristiana de Farias; Roberto Calandra; Liming Chen; Jan Peters

    Tactile MNIST: Benchmarking Active Tactile Perception

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.06361, Pages 1-39, arXiv, 2025.

  6. Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Yaniv Oren; Jan Peters; Carlo D'Eramo

    Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.04398, Pages 1-22, arXiv, 2025.

  7. Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig

    Pythagoras: Semantic Type Detection of Numerical Data Using Graph Neural Networks

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA), Pages 146-152, CEUR Workshop Proceedings, Vol. 3630, CEUR-WS.org, 2023.

  8. Meghdad Mirabi; René Klaus Nikiel; Carsten Binnig

    SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training

    In: Jihe Wang; Yi He; Thang N. Dinh; Christan Grant; Meikang Qiu; Witold Pedrycz (Hrsg.). 23rd IEEE International Conference on Data Mining Workshops - ICDMW 2023. International Workshop on Trustworthy Knowledge Discovery and Data Mining (TrustKDD-2023), December 1, Shanghai, China, Pages 207-216, IEEE, 2023.

  9. Alberto Lerner; Carsten Binnig; Philippe Cudré-Mauroux; Rana Hussein; Matthias Jasny; Theo Jepsen; Dan R. K. Ports; Lasse Thostrup; Tobias Ziegler

    Databases on Modern Networks: A Decade of Research that now comes into Practice

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 16, No. 12, Pages 3894-3897, VLDP, 2023.

  10. Bang You; Puze Liu; Huaping Liu; Jan Peters; Oleg Arenz

    Maximum Total Correlation Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.16734, Pages 1-23, arXiv, 2025.

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