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Derniers dépôts
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Alena Shilova, Thomas Delliaux, Philippe Preux, Bruno Raffin. Learning HJB Viscosity Solutions with PINNs for Continuous-Time Reinforcement Learning. RR-9541, Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189; Univ. Lille, CNRS, Centrale Lille, Inria UMR 9189 - CRIStAL,INRIA Lille Nord Europe, Villeneuve d’Ascq, France; Univ. Grenoble Alps, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France. 2024, pp.1-30. ⟨hal-04445160⟩
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Eduardo Charles Vasconcellos, Ronald M Sampaio, André P D Araújo, Esteban Walter Gonzales Clua, Philippe Preux, et al.. Reinforcement-learning robotic sailboats: simulator and preliminary results. NeurIPS 2023 Workshop on Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models, Dec 2023, New Orelans, United States. ⟨hal-04395990⟩
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André P D Araújo, Dickson Daniel, Raphael Guerra, Diego Brandão, Eduardo Charles Vasconcellos, et al.. General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring. IEEE Internet of Things Journal, In press, ⟨10.1109/JIOT.2023.3324525⟩. ⟨hal-04355027⟩