ML Anthology

Liu, Puze

7 publications

ICML 2025 Maximum Total Correlation Reinforcement Learning Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz
CoRL 2025 Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation Zechu Li, Yufeng Jin, Daniel Ordonez-Apraez, Claudio Semini, Puze Liu, Georgia Chalvatzaki
NeurIPS 2024 A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-World Robotics Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Marić, Sylvain Calinon, Andrej Orsula, Miguel Olivares-Mendez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan Peters
CoRL 2024 Bridging the Gap Between Learning-to-Plan, Motion Primitives and Safe Reinforcement Learning Piotr Kicki, Davide Tateo, Puze Liu, Jonas Günster, Jan Peters, Krzysztof Walas
CoRL 2024 Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning Jonas Günster, Puze Liu, Jan Peters, Davide Tateo
AISTATS 2022 Dimensionality Reduction and Prioritized Exploration for Policy Search Marius Memmel, Puze Liu, Davide Tateo, Jan Peters
CoRL 2021 Robot Reinforcement Learning on the Constraint Manifold Puze Liu, Davide Tateo, Haitham Bou Ammar, Jan Peters