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Publications

Displaying results 2011 to 2020 of 15167.

  1. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.16110, Pages 0-10, arXiv, 2022.

  2. Hany Abdulsamad; Peter Nickl; Pascal Klink; Jan Peters

    Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.01120, Pages 0-10, arXiv, 2022.

  3. Kay Hansel; Julen Urain; Jan Peters; Georgia Chalvatzaki

    Hierarchical Policy Blending as Inference for Reactive Robot Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2210.07890, Pages 0-10, arXiv, 2022.

  4. Luca Lach; Niklas Funk; Robert Haschke; Séverin Lemaignan; Helge Joachim Ritter; Jan Peters; Georgia Chalvatzaki

    Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2210.02054, Pages 0-10, arXiv, 2022.

  5. Puze Liu; Kuo Zhang; Davide Tateo; Snehal Jauhri; Zhiyuan Hu; Jan Peters; Georgia Chalvatzaki

    Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.13308, Pages 0-10, arXiv, 2022.

  6. Bang You; Jingming Xie; Youping Chen; Jan Peters; Oleg Arenz

    Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.05333, Pages 0-10, arXiv, 2022.

  7. Alexander I. Cowen-Rivers; Philip John Gorinski; Aivar Sootla; Asif Khan; Furui Liu; Jun Wang; Jan Peters; Haitham Bou-Ammar

    Structured Q-learning For Antibody Design

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.04698, Pages 0-10, arXiv, 2022.

  8. Julen Urain; Niklas Funk; Jan Peters; Georgia Chalvatzaki

    SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.03855, Pages 0-10, arXiv, 2022.

  9. Deepak Kumar Pathak; Miro Miranda Lorenz; Francisco Mena; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Hiba Najjar; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel

    PREDICTING CROP YIELD WITH MACHINE LEARNING: AN EXTENSIVE ANALYSIS OF INPUT MODALITIES AND MODELS ON A FIELD AND SUB-FIELD LEVEL

    In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), WE4.R8: Agricultural Yield Estimation and Prediction I, July 16-21, Pasadena, California, USA, IEEE, 10/2023.

  10. Yan Di; Chenyangguang Zhang; Ruida Zhang; Fabian Manhardt; Yongzhi Su; Jason Raphael Rambach; Didier Stricker; Xiangyang Ji; Federico Tombari

    U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds

    In: IEEE/CVF (Hrsg.). Proceedings of the. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE/CVF, 2023.

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