| 2025 | ICML | Maximum Total Correlation Reinforcement Learning. | Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz |
| 2024 | CoRL | Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. | Jonas Gnster, Puze Liu, Jan Peters, Davide Tateo |
| 2024 | CoRL | Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. | Piotr Kicki, Davide Tateo, Puze Liu, Jonas Gnster, Jan Peters, Krzysztof Walas |
| 2023 | ICRA | Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction. | Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki |
| 2022 | AISTATS | Dimensionality Reduction and Prioritized Exploration for Policy Search. | Marius Memmel, Puze Liu, Davide Tateo, Jan Peters |
| 2022 | IROS | Regularized Deep Signed Distance Fields for Reactive Motion Generation. | Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki |
| 2021 | CoRL | Robot Reinforcement Learning on the Constraint Manifold. | Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters |
| 2021 | IROS | Efficient and Reactive Planning for High Speed Robot Air Hockey. | Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters |