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Jahr: 2021
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  1. 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, Xi'an, China, Pages 4216-4222, IEEE, 2021.

  2. 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, Xi'an, China, Pages 4163-4170, IEEE, 2021.

  3. 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, Xi'an, China, Pages 3612-3618, IEEE, 2021.

  4. 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, Xi'an, China, Pages 3197-3204, IEEE, 2021.

  5. 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 Learning (ICML-2021), July 18-24, Pages 7224-7234, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

  6. 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 Learning (ICML-2021), July 18-24, Pages 2365-2375, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

  7. 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, London, United Kingdom, Pages 1357-1366, Proceedings of Machine Learning Research, Vol. 164, PMLR, 2021.

  8. 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 Engineering (CASE-2021), August 23-27, Lyon, France, Pages 1878-1883, IEEE, 2021.

  9. 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.

  10. 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 Artificial Intelligence and Statistics (AISTATS-2021), April 13-15, Pages 1198-1206, Proceedings of Machine Learning Research, Vol. 130, PMLR, 2021.

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