| 2024 | CoRL | One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion. | Nico Bohlinger, Grzegorz Czechmanowski, Maciej Piotr Krupka, Piotr Kicki, Krzysztof Walas, Jan Peters, Davide Tateo |
| 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 |
| 2024 | ICLR | Time-Efficient Reinforcement Learning with Stochastic Stateful Policies. | Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo |
| 2024 | IROS | Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot. | Luca Lach, Robert Haschke, Davide Tateo, Jan Peters, Helge J. Ritter, Jlia Borrs Sol, Carme Torras |
| 2023 | ICLR | LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. | Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters |
| 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 | IJCNN | An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. | Joo Carvalho, Davide Tateo, Fabio Muratore, Jan Peters |
| 2021 | IROS | Efficient and Reactive Planning for High Speed Robot Air Hockey. | Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters |
| 2020 | ICLR | Sharing Knowledge in Multi-Task Deep Reinforcement Learning. | Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters |
| 2020 | IROS | ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows. | Julen Urain, Michele Ginesi, Davide Tateo, Jan Peters |
| 2019 | IROS | Graph-Based Design of Hierarchical Reinforcement Learning Agents. | Davide Tateo, Idil Su Erdenlig, Andrea Bonarini |
| 2018 | AAAI | Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It. | Davide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini |