Publikationen

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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 …
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 …
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, …
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 …
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, …

Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks

Dimensionality Reduction and Prioritized Exploration for Policy Search

Regularized Deep Signed Distance Fields for Reactive Motion Generation

Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction

Robot Reinforcement Learning on the Constraint Manifold

Efficient and Reactive Planning for High Speed Robot Air Hockey

Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning