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Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Displaying results 51 to 60 of 611.
  1. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    A Differentiable Newton-Euler Algorithm for Real-World Robotics

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12422, Pages 0-10, arXiv, 2021.

  2. Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang; Matthew R. Walter; Rishabh Madan; Charles B. Schaff; Takahiro Maeda; Takuma Yoneda; Denis Yarats; Arthur Allshire; Ethan K. Gordon; Tapomayukh Bhattacharjee; Siddhartha S. Srinivasa; Animesh Garg; Annika Buchholz; Sebastian Stark; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vaibhav Agrawal; Bernhard Schölkopf

    A Robot Cluster for Reproducible Research in Dexterous Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.10957, Pages 0-10, arXiv, 2021.

  3. Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang; Jan Peters; Haitham Bou-Ammar

    High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.03609, Pages 0-10, arXiv, 2021.

  4. Daniel Tanneberg; Elmar Rueckert; Jan Peters

    Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07957, Pages 0-10, arXiv, 2021.

  5. Joe Watson; Hany Abdulsamad; Rolf Findeisen; Jan Peters

    Stochastic Control through Approximate Bayesian Input Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07693, Pages 0-10, arXiv, 2021.

  6. Stephan Weigand; Pascal Klink; Jan Peters; Joni Pajarinen

    Reinforcement Learning using Guided Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2104.10986, Pages 0-10, arXiv, 2021.

  7. Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; Julen Urain De Jesus; Jan Peters; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang; Matthew R. Walter; Rishabh Madan; Takuma Yoneda; Denis Yarats; Arthur Allshire; Ethan K. Gordon; Tapomayukh Bhattacharjee; Siddhartha S. Srinivasa; Animesh Garg; Takahiro Maeda; Harshit Sikchi; Jilong Wang; Qingfeng Yao; Shuyu Yang; Robert McCarthy; Francisco Roldan Sanchez; Qiang Wang; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond; Bernhard Schölkopf

    Real Robot Challenge: A Robotics Competition in the Cloud

    In: Douwe Kiela; Marco Ciccone; Barbara Caputo (Hrsg.). NeurIPS 2021 Competitions and Demonstrations Track. Neural Information Processing Systems …

  8. Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters

    Efficient and Reactive Planning for High Speed Robot Air Hockey

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  9. Jo~ao Carvalho; Davide Tateo; Fabio Muratore; Jan Peters

    An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, Shenzhen, China, …

  10. Samuele Tosatto; Georgia Chalvatzaki; Jan Peters

    Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, …