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Publications

Displaying results 61 to 70 of 656.
  1. 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, …

  2. 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, …

  3. Andrew S. Morgan; Daljeet Nandha; Georgia Chalvatzaki; Carlo D'Eramo; Aaron M. Dollar; Jan Peters

    Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

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

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

    A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning

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

  5. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning

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

  6. Vignesh Prasad; Ruth Stock-Homburg; Jan Peters

    Learning Human-like Hand Reaching for Human-Robot Handshaking

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

  7. Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

  8. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research …

  9. Qin Li; Georgia Chalvatzaki; Jan Peters; Yong Wang

    Directed Acyclic Graph Neural Network for Human Motion Prediction

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