Publications

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S. Gu; Puze Liu; A. Kshirsagar; G. Chen; Jan Peters; A. Knoll
ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds
In: IEEE Transactions on Automation Science and Engineering, Vol. /, Pages 1-11, IEEE, 2024.
J. Guenster; Puze Liu; Jan Peters; D. Tateo
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
In: Volume 270: Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), CoRL, 2024.
P. Kicki; Tateo; Puze Liu; J. Guenster; Jan Peters; K. Walas
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
In: Volume 270: Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), CoRL, 2024.
Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
In: IEEE Transactions on Robotics (T-RO), Vol. abs/2301.04330, Pages 0-10, IEEE, 2023.
Marius Memmel; Puze Liu; Davide Tateo; Jan Peters
Dimensionality Reduction and Prioritized Exploration for Policy Search
In: Gustau Camps-Valls; Francisco J. R. Ruiz; Isabel Valera (Hrsg.). International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2022), March 28-30, Pages 2134-2157, Proceedings of Machine Learning Research, Vol. 151, PMLR, 2022.
Puze Liu; Kuo Zhang; Davide Tateo; Snehal Jauhri; Jan Peters; Georgia Chalvatzaki
Regularized Deep Signed Distance Fields for Reactive Motion Generation
In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2022), October 23-27, Kyoto, Japan, Pages 6673-6680, IEEE, 2022.
Puze Liu; Kuo Zhang; Davide Tateo; Snehal Jauhri; Zhiyuan Hu; Jan Peters; Georgia Chalvatzaki
Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction
In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.13308, Pages 0-10, arXiv, 2022.
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.
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 (IROS-2021), September 27 - October 1, Prague, Czech Republic, Pages 586-593, IEEE, 2021.
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, Virtual Event, ISBN 978-0-9923747-7-8, Robotics Science and Systems, Online Proceedings, 2021.