Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. - Alexis Duburcq; Fabian Schramm; Guilhem Boéris; Nicolas Bredèche; Yann Chevaleyre (IROS, 2022)

Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning. - Antoine Bambade; Fabian Schramm; Adrien B. Taylor; Justin Carpentier (ICLR, 2024)

KernelSOS for Global Sampling-Based Optimal Control and Estimation via Semidefinite Programming. - Antoine Groudiev; Fabian Schramm; Eloïse Berthier; Justin Carpentier; Frederike Dümbgen (CoRR, 2025)