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Publications

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Displaying results 11 to 20 of 676.
  1. 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, …

  2. 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, …

  3. 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, …

  4. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Value Iteration in Continuous Actions, States and Time

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine …

  5. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Convex Regularization in Monte-Carlo Tree Search

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine …

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

    Robot Reinforcement Learning on the Constraint Manifold

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, …

  7. Michael Lutter; Debora Clever; René Kirsten; Kim Listmann; Jan Peters

    Building Skill Learning Systems for Robotics

    In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and …

  8. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  9. Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters

    Latent Derivative Bayesian Last Layer Networks

    In: Arindam Banerjee; Kenji Fukumizu (Hrsg.). The 24th International Conference on Artificial Intelligence and Statistics. International Conference on …

  10. Florian Stuhlenmiller; Debora Clever; Stephan Rinderknecht; Michael Lutter; Jan Peters

    Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System

    In: 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE/ASME International Conference on Advanced Intelligent …