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Fabian Schramm
- Équipe: MLIA
Publications
- Franki Nguimatsia Tiofack, Théotime Le Hellard, Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier. Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning. ICLR 2026 - The Fourteenth International Conference on Learning Representations, Apr 2026, Rio de Janeiro, Brazil. ⟨hal-05400311v2⟩
- Fabian Schramm, Franki Nguimatsia Tiofack, Nicolas Perrin-Gilbert, Marc Toussaint, Justin Carpentier. Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation. 2026. ⟨hal-05492619⟩
- Fabian Schramm, Pierre Fabre, Nicolas Perrin-Gilbert, Justin Carpentier. Reference-Free Sampling-Based Model Predictive Control. ICRA 2026 - IEEE International Conference on Robotics and Automation, Jun 2026, Vienna, Austria. ⟨hal-05401976v2⟩
- Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier. First-order Sobolev Reinforcement Learning. 2025. ⟨hal-05401970⟩
- Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredeche, Yann Chevaleyre. Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2022, Kyoto, Japan. pp.9302-9309, ⟨10.1109/IROS47612.2022.9982234⟩. ⟨hal-04155863⟩
