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Publications

Displaying results 13 to 18 of 669.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Tianyu Ren; Georgia Chalvatzaki; Jan Peters

    Extended Task and Motion Planning of Long-horizon Robot Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2103.05456, Pages 0-10, arXiv, 2021.

  6. Julen Urain; Puze Liu; Anqi Li; Carlo D'Eramo; Jan Peters

    Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning

    In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, …