Laurent CORDIER
10
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Présentation
Publications
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Control of chaotic systems by deep reinforcement learningProceedings of the Royal Society of London. Series A, Mathematical and physical sciences, inPress, 475 (2231), pp.1-20. ⟨10.1098/rspa.2019.0351⟩
Article dans une revue
hal-02406677v1
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Closed-loop control of complex systems using deep Reinforcement LearningEuromech colloquium on Machine learning methods for turbulent separated flows, Jun 2021, Paris, France
Communication dans un congrès
hal-03451355v1
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Control by Deep Reinforcement Learning of a separated flow73rd Annual Meeting of the APS Division of Fluid Dynamics, Nov 2020, Chicago, United States
Communication dans un congrès
hal-03088845v1
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Toward the prediction of chaotic systems for the Reinforcement Learning of turbulent flowsInternational Workshop on Dynamical Methods in Data-based Exploration of Complex Systems, Max Planck Institute, Oct 2019, Dresden, Germany
Communication dans un congrès
hal-04405377v1
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Apprentissage d’un modèle dynamique chaotique par un LSTMConférence sur l’Apprentissage automatique (CAp), Jul 2019, Toulouse, France
Communication dans un congrès
hal-02412444v1
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Control of a chaotic dynamical system with a Deep Reinforcement Learning approach90th GAMM Annual Meeting, Feb 2019, Vienna, Austria
Communication dans un congrès
hal-02411514v1
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Toward control of weakly observed nonlinear dynamical systems using reinforcement learningSIAM UQ18 (SIAM Conference on Uncertainty Quantification 2018), SIAM Society for Industrial and Applied Mathematics, Apr 2018, Garden Grove, CA, United States
Communication dans un congrès
hal-04405140v1
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A continuous reinforcement learning strategy for closed-loop control in fluid dynamicsApplied Aerodynamics Conference, Jun 2018, Denver, United States
Communication dans un congrès
hal-01856254v1
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Control-oriented model learning with a recurrent neural network71st Annual APS/DFD Meeting, Nov 2018, Atlanta, United States
Communication dans un congrès
hal-02411907v1
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Control of chaotic systems by Deep Reinforcement Learning2019
Pré-publication, Document de travail
hal-02411475v1
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