| Leveraging randomized smoothing for optimal control of nonsmooth dynamical systems Q Le Lidec, F Schramm, L Montaut, C Schmid, I Laptev, J Carpentier Nonlinear Analysis: Hybrid Systems 52 (1751-570X), 101468, 2024 | 25 | 2024 |
| Proxqp: an efficient and versatile quadratic programming solver for real-time robotics applications and beyond A Bambade, F Schramm, S El Kazdadi, S Caron, A Taylor, J Carpentier | 13 | 2023 |
| Reactive stepping for humanoid robots using reinforcement learning: Application to standing push recovery on the exoskeleton atalante A Duburcq, F Schramm, G Boéris, N Bredeche, Y Chevaleyre 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 10 | 2022 |
| QPLayer: efficient differentiation of convex quadratic optimization A Bambade, F Schramm, A Taylor, J Carpentier | 8 | 2023 |
| Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning A Bambade, F Schramm, A Taylor, J Carpentier The Twelfth International Conference on Learning Representations, 2024 | 2 | 2024 |
| Companion Report of PROXQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond A Bambade, F Schramm, S El Kazdadi, S Caron, A Taylor, J Carpentier INRIA, 2023 | 1 | 2023 |
| Interplay between Optimal Control and Reinforcement Learning for Agile Locomotion and Dexterous Manipulation in Robotics F Schramm, N Perrin-Gilbert, J Carpentier | | |
