Fabian Schramm

According to our database, Fabian Schramm authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Survival Reinforcement Learning: Toward Scalable Self-Supervised RL.

Franki Nguimatsia Tiofack, Fabian Schramm, Théotime Le Hellard, Justin Carpentier

CoRR, May, 2026

SVL: Goal-Conditioned Reinforcement Learning as Survival Learning.

Franki Nguimatsia Tiofack, Fabian Schramm, Théotime Le Hellard, Justin Carpentier

CoRR, April, 2026

Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation.

Fabian Schramm, Franki Nguimatsia Tiofack, Nicolas Perrin-Gilbert, Marc Toussaint, Justin Carpentier

CoRR, February, 2026

2025

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning.

Franki Nguimatsia Tiofack, Théotime Le Hellard, Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier

CoRR, December, 2025

Reference-Free Sampling-Based Model Predictive Control.

Fabian Schramm, Pierre Fabre, Nicolas Perrin-Gilbert, Justin Carpentier

CoRR, November, 2025

First-order Sobolev Reinforcement Learning.

Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier

CoRR, November, 2025

KernelSOS for Global Sampling-Based Optimal Control and Estimation via Semidefinite Programming.

Antoine Groudiev, Fabian Schramm, Eloïse Berthier, Justin Carpentier, Frederike Dümbgen

CoRR, July, 2025

2024

Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning.

Antoine Bambade, Fabian Schramm, Adrien B. Taylor, Justin Carpentier

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022