| 2024 | ICML | Nesting Particle Filters for Experimental Design in Dynamical Systems. | Sahel Iqbal, Adrien Corenflos, Simo Srkk, Hany Abdulsamad |
| 2021 | ICRA | A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. | Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters |
| 2020 | AISTATS | A Nonparametric Off-Policy Policy Gradient. | Samuele Tosatto, Joo Carvalho, Hany Abdulsamad, Jan Peters |
| 2019 | CoRL | Self-Paced Contextual Reinforcement Learning. | Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters |
| 2019 | CoRL | Receding Horizon Curiosity. | Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters |
| 2019 | CoRL | Stochastic Optimal Control as Approximate Input Inference. | Joe Watson, Hany Abdulsamad, Jan Peters |
| 2019 | IROS | Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. | Onur Celik, Hany Abdulsamad, Jan Peters |
| 2016 | ICML | Model-Free Trajectory Optimization for Reinforcement Learning. | Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki |
| 2016 | IROS | Optimal control and inverse optimal control by distribution matching. | Oleg Arenz, Hany Abdulsamad, Gerhard Neumann |
| 2015 | IROS | Reinforcement learning vs human programming in tetherball robot games. | Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters |