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  • Fabian Schramm

  • Team: MLIA

Publications

  • Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier. First-order Sobolev Reinforcement Learning. 2025. ⟨hal-05401970⟩
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  • Fabian Schramm, Pierre Fabre, Nicolas Perrin-Gilbert, Justin Carpentier. Reference-Free Sampling-Based Model Predictive Control. 2025. ⟨hal-05401976⟩
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  • 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. 2025. ⟨hal-05400311⟩
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  • 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⟩
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