Recherche - Mines Paris

57 résultats

	Pour les 57 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Deep Reinforcement Learning for Optimal Energy Management of Multi-energy Smart Grids Dhekra Bousnina , Gilles Guerassimoff Lecture Notes in Computer Science, 2022, pp.15 - 30. ⟨10.1007/978-3-030-95470-3_2⟩ Article dans une revue hal-03587262v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Path planning for a maritime surface ship based on Deep Reinforcement Learning and weather forecast Eva Artusi , Fabien Chaillan , Aldo Napoli IEEE/MTS OCEANS 2021, Sep 2021, San Diego, CA, United States Communication dans un congrès hal-03726769v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Apprentissage par renforcement du contrôle d’un véhicule autonome à partir de la vision Marin Toromanoff Robotique [cs.RO]. Université Paris sciences et lettres, 2021. Français. ⟨NNT : 2021UPSLM020⟩ Thèse tel-03347567v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply Zhaojun Hao , Francesco Di Maio , Enrico Zio Reliability Engineering and System Safety, 2023, 235, pp.109231. ⟨10.1016/j.ress.2023.109231⟩ Article dans une revue hal-04099955v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Is Deep Reinforcement Learning Really Superhuman on Atari? Marin Toromanoff , Emilie Wirbel , Fabien Moutarde Deep Reinforcement Learning Workshop of 39th Conference on Neural Information Processing Systems (Neurips'2019), Dec 2019, Vancouver, Canada Communication dans un congrès hal-02368263v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Multi-energy optimization in Smart Grids: a Deep Reinforcement Learning approach Dhekra Bousnina , Gilles Guerassimoff SophI.A Summit, Nov 2020, Sophia-Antipolis, France Communication dans un congrès hal-03021016v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Deep Reinforcement Learning for optimal energy management of multi-energy Smart Grids Dhekra Bousnina , Gilles Guerassimoff LOD 2021 : the 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science, Oct 2021, Grasmere, United Kingdom Communication dans un congrès hal-03587180v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Parallel Bootstrap-Based On-Policy Deep Reinforcement Learning for Continuous Fluid Flow Control Applications Jonathan Viquerat , Elie Hachem Fluids, 2023, 8 (7), pp.208. ⟨10.3390/fluids8070208⟩ Article dans une revue hal-04328631v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews Luca Pinciroli , Piero Baraldi , Guido Ballabio , Michele Compare , Enrico Zio Energies, 2021, 14 (20), pp.6743. ⟨10.3390/en14206743⟩ Article dans une revue hal-03481360v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks Lin Fan , Huai Su , Enrico Zio , Lixun Chi , Li Zhang , et al. Journal of Cleaner Production, 2022, 335, pp.130274. ⟨10.1016/j.jclepro.2021.130274⟩ Article dans une revue hal-03907581v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Decision support system based on Deep Reinforcement Learning for war ships facing asymmetric threats Eva Artusi , Fabien Chaillan , Aldo Napoli Undersea Defence Technology (UDT) 2022, Jun 2022, Rotterdam, Netherlands Communication dans un congrès hal-03696075v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Photovoltaic self-consumption optimization for Home Microgrid: A Deep Reinforcement Learning approach Mohamed Saâd EL HARRAB , Michel Nakhla EURO 2022, 32nd EURO Conference, Association of European Operational Research Societies, Jul 2022, Espoo, Finland Communication dans un congrès hal-03746179v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Deep Reinforcement Learning Based Home Energy Management System (HEMS) Mohamed Saâd EL HARRAB , Michel Nakhla OLA 2022, International Conference on Optimization & Learning, Jul 2022, Syracuse, Italy Communication dans un congrès hal-03746181v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		On the coupling of deep reinforcement learning and computational fluid dynamics Hassan Ghraieb Fluid mechanics [physics.class-ph]. Université Paris sciences et lettres, 2022. English. ⟨NNT : 2022UPSLM037⟩ Thèse tel-04043187v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Deep Reinforcement Learning and Learning from Demonstrations for Robot Manipulators Jesús Bujalance Martin Robotics [cs.RO]. Université Paris sciences et lettres, 2024. English. ⟨NNT : 2024UPSLM022⟩ Thèse tel-04804036v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Direct shape optimization through deep reinforcement learning Jonathan Viquerat , Mines Paristech , Jean Rabault , Alexander Kuhnle , Hassan Ghraieb , et al. 2021 Pré-publication, Document de travail hal-02401468v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		OPTIMAL MULTI-ENERGY MANAGEMENT IN SMART ENERGY SYSTEMS: A DEEP REINFORCEMENT LEARNING APPROACH AND A CASE-STUDY ON A FRENCH ECO-DISTRICT Dhekra Bousnina , Gilles Guerassimoff Smart Energy Systems, International Conference, Energy Cluster Denmark; AAlborg University Denmark, Sep 2023, Copenhaguen, Denmark Communication dans un congrès hal-04323498v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning Luca Pinciroli , Piero Baraldi , Guido Ballabio , Michele Compare , Enrico Zio Renewable Energy, 2022, 183, pp.752-763. ⟨10.1016/j.renene.2021.11.052⟩ Article dans une revue hal-03481413v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Integrating Expert Knowledge with Deep Reinforcement Learning Methods for Autonomous Driving Raphaël Chekroun Robotics [cs.RO]. Université Paris sciences et lettres, 2024. English. ⟨NNT : 2024UPSLM023⟩ Thèse tel-04804056v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Combining machine learning and computational fluid dynamics for solar panel tilt angle optimization in extreme winds T. Michel , A. Ansaldi , J. Viquerat , P. Meliga , E. Hachem Physics of Fluids, 2024, 36 (12), ⟨10.1063/5.0233709⟩ Article dans une revue hal-04844403v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Apprentissage par renforcement profond dans une architecture cognitive pour l'aide à la conduite de missions navales Eva Artusi Risques. Université Paris sciences et lettres, 2021. Français. ⟨NNT : 2021UPSLM074⟩ Thèse tel-03882771v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Policy-based optimization: single-step policy gradient method seen as an evolution strategy Jonathan Viquerat , Régis Duvigneau , Philippe Meliga , A Kuhnle , Elie Hachem Neural Computing and Applications, 2022, ⟨10.1007/s00521-022-07779-0⟩ Article dans une revue hal-03432655v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Reinforcement learning for cooling rate control during quenching Elie Hachem , Abhijeet Vishwasrao , Maxime Renault , Jonathan Viquerat , Philippe Méliga International Journal of Numerical Methods for Heat and Fluid Flow, 2024, 34 (8), pp.3223-3252. ⟨10.1108/HFF-11-2023-0713⟩ Article dans une revue hal-04750779v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Single-step deep reinforcement learning for two- and three-dimensional optimal shape design H. Ghraieb , J. Viquerat , A. Larcher , P. Meliga , E. Hachem AIP Advances, 2022, 12 (8), pp.085108. ⟨10.1063/5.0097241⟩ Article dans une revue hal-03825017v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning Lin Fan , Huai Su , Wei Wang , Enrico Zio , Li Zhang , et al. Reliability Engineering and System Safety, 2022, 225, pp.108613. ⟨10.1016/j.ress.2022.108613⟩ Article dans une revue hal-03906637v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows Hassan Ghraieb , Jonathan Viquerat , Aurélien Larcher , P. Meliga , Elie Hachem Physical Review Fluids, 2021 Article dans une revue hal-03027908v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Deep reinforcement learning for the control of conjugate heat transfer Elie Hachem , Hassan Ghraieb , Jonathan Viquerat , Aurélien Larcher , P. Meliga Journal of Computational Physics, 2021, 436, pp.110317. ⟨10.1016/j.jcp.2021.110317⟩ Article dans une revue hal-03027923v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Investigating gas furnace control practices with reinforcement learning M Renault , J Viquerat , P Meliga , G.-A Grandin , N Meynet , et al. International Journal of Heat and Mass Transfer, 2023, 209, pp.124147. ⟨10.1016/j.ijheatmasstransfer.2023.124147⟩ Article dans une revue hal-04245154v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Deep Reinforcement Learning for Optimal Energy Management in Smart Multi-Energy Systems Dhekra Bousnina Electric power. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLM064⟩ Thèse tel-04558019v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		LEARNING FROM DEMONSTRATIONS WITH SACR2: SOFT ACTOR-CRITIC WITH REWARD RELABELING Jesus Bujalance , Raphael Chekroun , Fabien Moutarde 'Deep Reinforcement Learning' workshop of the 35th Conference on Neural Information Processing Systems (NeurIPS'2021), Dec 2021, Virtual, United States Communication dans un congrès hal-03519790v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More

Filtrer vos résultats

Deep Reinforcement Learning for Optimal Energy Management of Multi-energy Smart Grids

Path planning for a maritime surface ship based on Deep Reinforcement Learning and weather forecast

Apprentissage par renforcement du contrôle d’un véhicule autonome à partir de la vision

A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply

Is Deep Reinforcement Learning Really Superhuman on Atari?

Multi-energy optimization in Smart Grids: a Deep Reinforcement Learning approach

Deep Reinforcement Learning for optimal energy management of multi-energy Smart Grids

Parallel Bootstrap-Based On-Policy Deep Reinforcement Learning for Continuous Fluid Flow Control Applications

Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews

A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks

Decision support system based on Deep Reinforcement Learning for war ships facing asymmetric threats

Photovoltaic self-consumption optimization for Home Microgrid: A Deep Reinforcement Learning approach

Deep Reinforcement Learning Based Home Energy Management System (HEMS)

On the coupling of deep reinforcement learning and computational fluid dynamics

Deep Reinforcement Learning and Learning from Demonstrations for Robot Manipulators

Direct shape optimization through deep reinforcement learning

OPTIMAL MULTI-ENERGY MANAGEMENT IN SMART ENERGY SYSTEMS: A DEEP REINFORCEMENT LEARNING APPROACH AND A CASE-STUDY ON A FRENCH ECO-DISTRICT

Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning

Integrating Expert Knowledge with Deep Reinforcement Learning Methods for Autonomous Driving

Combining machine learning and computational fluid dynamics for solar panel tilt angle optimization in extreme winds

Apprentissage par renforcement profond dans une architecture cognitive pour l'aide à la conduite de missions navales

Policy-based optimization: single-step policy gradient method seen as an evolution strategy

Reinforcement learning for cooling rate control during quenching

Single-step deep reinforcement learning for two- and three-dimensional optimal shape design

A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning

Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows

Deep reinforcement learning for the control of conjugate heat transfer

Investigating gas furnace control practices with reinforcement learning

Deep Reinforcement Learning for Optimal Energy Management in Smart Multi-Energy Systems

LEARNING FROM DEMONSTRATIONS WITH SACR2: SOFT ACTOR-CRITIC WITH REWARD RELABELING