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Статті в журналах з теми "Contrôle à champ moyen"
Lasry, Jean-Michel, and Pierre-Louis Lions. "Jeux à champ moyen. II – Horizon fini et contrôle optimal." Comptes Rendus Mathematique 343, no. 10 (November 2006): 679–84. http://dx.doi.org/10.1016/j.crma.2006.09.018.
Повний текст джерелаFaucher, Albert. "Pouvoir politique et pouvoir économique dans l'évolution du Canada français." III. Les structures du pouvoir social 7, no. 1-2 (April 12, 2005): 61–79. http://dx.doi.org/10.7202/055299ar.
Повний текст джерелаBakawan, Adel. "La recomposition du Moyen-Orient : quel avenir pour l’ordre milicien ?" Confluences Méditerranée N° 127, no. 4 (January 11, 2024): 119–33. http://dx.doi.org/10.3917/come.127.0119.
Повний текст джерелаDallaire, Christine. "Le projet sportif des organismes franco-ontariens et leurs revendications auprès du gouvernement provincial." Recherche 36, no. 2 (April 12, 2005): 243–63. http://dx.doi.org/10.7202/056954ar.
Повний текст джерелаOnguene Onana, Édouard. "Qualification d’investissement et compétence en arbitrage international relatif aux investissements : la théorie du contrôle séparé devant le CIRDI." Revue générale de droit 42, no. 1 (September 22, 2014): 57–104. http://dx.doi.org/10.7202/1026916ar.
Повний текст джерелаVan, Mel. "Discontinuities in kurt lewin's psychology of work : conceptual and cultural shifts between his german and american research/[les psychologies du travail, allemande et américaine, de kurt lewin : ruptures conceptuelles et culturelles]." Sociétés contemporaines 13, no. 1 (January 1, 1993): 71–93. http://dx.doi.org/10.3917/soco.p1993.13n1.0071.
Повний текст джерелаMockle, Daniel. "La constitutionnalisation des mécanismes et des principes de bon gouvernement en perspective comparée." Les Cahiers de droit 51, no. 2 (February 15, 2011): 245–352. http://dx.doi.org/10.7202/045633ar.
Повний текст джерелаBretonnière, Sandrine. "Les nouvelles techniques médicales de reproduction en Roumanie : entre autonomie des femmes et inégalités socioéconomiques." Enfances, Familles, Générations, no. 21 (July 22, 2014): 118–34. http://dx.doi.org/10.7202/1025962ar.
Повний текст джерелаMorin, Fernand. "L’approche dite « pragmatique et fonctionnelle » retenue à la Cour suprême du Canada!" Revue générale de droit 25, no. 1 (February 26, 2019): 95–111. http://dx.doi.org/10.7202/1056405ar.
Повний текст джерелаLissillour, Raphael, and Emmanuel Monod. "L’instrumentalisation de la transparence : les jeux de pouvoirs lors de l’implémentation de l’intelligence artificielle." Revue internationale de psychosociologie et de gestion des comportements organisationnels Vol. XXX, no. 80 (April 16, 2024): 79–114. http://dx.doi.org/10.3917/rips1.080.0079.
Повний текст джерелаДисертації з теми "Contrôle à champ moyen"
Hadikhanloo, Saeed. "Apprentissage dans les jeux à champ moyen." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLED001/document.
Повний текст джерелаMean Field Games (MFG) are a class of differential games in which each agent is infinitesimal and interacts with a huge population of other agents. In this thesis, we raise the question of the actual formation of the MFG equilibrium. Indeed, the game being quite involved, it is unrealistic to assume that the agents can compute the equilibrium configuration. This seems to indicate that, if the equilibrium configuration arises, it is because the agents have learned how to play the game. Hence the main question is to find learning procedures in mean field games and investigating if they converge to an equilibrium. We have inspired from the learning schemes in static games and tried to apply them to our dynamical model of MFG. We especially focus on fictitious play and online mirror descent applications on different types of mean field games; those are either Potential, Monotone or Discrete
Vasileiadis, Athanasios. "Apprentissage par renforcement à champ moyen : une perspective de contrôle optimal." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5005.
Повний текст джерелаThe goal of the PhD will be to implement a similar mean field approach to handle MARL. This idea was investigated, at least for individual agents, in several recent papers. In all of them, not only Mean field approach to MARL (Multi Agent Reinforcement Learning) does the mean field approach allow for a significant decrease of complexity, but it also provides distributed (or decentralized) solutions, which are of a very convenient use in practice. Numerical implementation using either on-or off-policy learning is discussed in the literature. The first part of the thesis will consist in revisiting the former works from a mathematical point of view. In particular, this will ask for a careful stability analysis addressing both the passage from a finite to an infinite system of agents and the use of approximated (instead of exact) policies. We may expect monotonicity to play a key role in the overall analysis; another, but more prospective, direction is to discuss the influence of a stochastic environment onto the behavior of the algorithms themselves. Another part of the thesis will be dedicated to the cooperative case the analysis of which will rely upon mean field control theory. Potential structures may allow to make the connection between individual and cooperative cases. The connection between the two may indeed play an important role for incentive design or, equivalently, for mimicking a cooperative system with individual agents. In this regard, connection with distributional reinforcement learning, may be an interesting question as well
Hu, Kaitong. "Jeux différentiels stochastiques non-Markoviens etdynamiques de Langevin à champ-moyen." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX005.
Повний текст джерелаTwo independent subjects are studied in this thesis, the first of which consists of two distinct problems.In the first part, we begin with the Principal-Agent problem in degenerate systems, which appear naturally in partially observed random environment in which the Agent and the Principal can only observe one part of the system. Our approach is based on the stochastic maximum principle, the goal of which is to extend the existing results using dynamic programming principle to the degenerate case. We first solve the Principal's problem in an enlarged set of contracts given by the first order condition of the Agent's problem in form of a path-dependent forward-backward stochastic differential equation (abbreviated FBSDE). Afterward, we use the sufficient condition of the Agent's problem to verify that the previously obtained optimal contract is indeed implementable. Meanwhile, a parallel study is devoted to the wellposedness of path-dependent FBSDEs in the chapter IV. We generalize the decoupling field method to the case where the coefficients of the equations can depend on the whole path of the forward process and show the stability property of this type of FBSDEs. Finally, we study the Principal-Agent problem with multiple Principals. The Agent can only work for one Principal at a time and therefore needs to solve an optimal switching problem. By using randomization, we show that the value function of the Agent's problem and his optimal control are given by an Itô process. This representation allows us to solve the Principal's problem in the mean-field case when there is an infinite number of Principals. We justify the mean-field formulation using an argument of backward propagation of chaos.The second part of the thesis consists of chapter V and VI. The motivation of this work is to give a rigorous theoretical underpinning for the convergence of gradient-descent type of algorithms frequently used in non-convex optimization problems like calibrating a deep neural network.For one-layer neural networks, the key insight is to convexify the problem by lifting it to the measure space. We show that the corresponding energy function has a unique minimiser which can be characterized by some first order condition using derivatives in measure space. We present a probabilistic analysis of the long-time behavior of the mean-field Langevin dynamics, which have a gradient flow structure in 2-Wasserstein metric. By using a generalization of LaSalle's invariance principle, we show that the flow of marginal laws induced by the mean-field Langevin dynamics converges to the stationary distribution, which is exactly the minimiser of the energy function.As for deep neural networks, we model them as some continuous-time optimal control problems. Firstly, we find the first order condition by using Pontryagin maximum principle, which later helps us find the associated mean-field Langevin system, the invariant measure of which is again the minimiser of the optimal control problem. As last, by using the reflection coupling, we show that the marginal distribution of the mean-field Langevin system converges to the unique invariant measure exponentially
Dao, Manh-Khang. "Équation de Hamilton-Jacobi et jeux à champ moyen sur les réseaux." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S042/document.
Повний текст джерелаThe dissertation focuses on the study of Hamilton-Jacobi-Bellman equations associated with optimal control problems and mean field games problems in the case when the state space is a network. Different dynamics and running costs are allowed in each edge of the network. In the first part of this thesis, we consider an optimal control on networks in the spirit of the works of Achdou, Camilli, Cutrì & Tchou (2013) and Imbert, Monneau & Zidani (2013). The main new feature is that there are entry (or exit) costs at the edges of the network leading to a possible discontinuous value function. The value function is characterized as the unique viscosity solution of a Hamilton-Jacobi equation for which an adequate junction condition is established. The uniqueness is a consequence of a comparison principle for which we give two different proofs. One uses some arguments from the theory of optimal control and is inspired by Achdou, Oudet & Tchou (2015). The other one is based on partial differential equations techniques and is inspired by a recent work of Lions & Souganidis (2017). The second part is about stochastic mean field games for which the state space is a network. In the ergodic case, they are described by a system coupling a Hamilton- Jacobi-Bellman equation and a Fokker-Planck equation, whose unknowns are the density m of the invariant measure which represents the distribution of the players, the value function v which comes from an "average" optimal control problem and the ergodic constant ρ. The function v is continuous and satisfies general Kirchhoff conditions at the vertices. The density m satisfies dual transmission conditions. In particular, due to the generality of Kirchhoff’s conditions, m is in general discontinuous at the vertices. Existence and uniqueness are proven for subquadratic Hamiltonian and very general assumptions about the coupling term. Finally, in the last part, we study non-stationary stochastic mean field games on networks. The transition conditions for value function v and the density m are similar to the ones given in second part. Here again, we prove the existence and uniqueness of a weak solution for sublinear Hamiltonian and bounded non-local regularizing coupling term. The main additional difficulty compared to the stationary case, which imposes us more restrictive hypotheses, is to establish the regularity of the solutions of the system placed on a network. Our approach is to study the solution of the derived Hamilton-Jacobi equation to gain regularity over the initial equation
Bodrero, Alain. "Contrôle d'un champ acoustique à l'intérieur d'une cavité par des moyens passifs en régime harmonique." Rouen, 1999. http://www.theses.fr/1999ROUES029.
Повний текст джерелаMériaux, François. "Théorie des jeux et apprentissage pour les réseaux sans fil distribués." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00952069.
Повний текст джерелаGrangereau, Maxime. "Contrôle optimal de flexibilités énergétiques en contexte incertain." Thesis, Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAX010.
Повний текст джерелаIn this PhD dissertation, we use tools from stochastic optimal control, stochastic optimization and convex optimization to design mechanisms to control energy storage systems, to deal with the challenges created by the uncertain production of intermittent energy sources. First, we introduce a commitment mechanism where an individual consumer chooses a consumption profile, then controls its storage devices to track in real-time this profile. We formulate a Mean-Field Control problem to model this situation, for which we establish theoretic and numerical results. Second, we introduce a control problem for a large population of Thermostatically Controlled Loads (TCLs) subject to a common noise and providing ancillary services to the grid. We show that the centralized control problem can be replaced by a stochastic Stackelberg differential game with minimal information-sharing. This allows for a decentralized control scheme with performance guarantees, while preserving privacy of consumers and limiting telecommunication requirements. We then develop a Newton method for stochastic control problems. We show that the computation of the Newton step reduces to solving Backward Stochastic Differential Equations, then we design an appropriate line-search procedure and prove global convergence of the Newton method with line-search in an appropriate space. Its performance is illustrated on a problem of control of a large number of batteries providing services to the grid. Last, a multi-stage stochastic Alternating Current Optimal Power Flow problem is formulated in order to control a power network equipped with energy storage systems. A priori conditions ensuring a vanishing relaxation gap are derived and an easily computable a posteriori bound on the relaxation gap of the problem is given. Using Shapley-Folkman-type results, a priori bounds on the duality gap of non-convex multi-stage stochastic problems with a generic structure are derived
Lachapelle, Aimé. "Quelques problèmes de transport et de contrôle en économie : aspects théoriques et numériques." Phd thesis, Université Paris Dauphine - Paris IX, 2010. http://tel.archives-ouvertes.fr/tel-00512404.
Повний текст джерелаCapuani, Rossana. "Mean Field Games with State Constraints." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLED006.
Повний текст джерелаThe aim of this Thesis is to study deterministic mean field games with state constraints. Mean field games (MFG) is a recent theory invented by Lasry and Lions which studies optimization problems with large populations of agents in a dynamical framework. The mathematical analysis of such problems has so far focused on situations where the agents can evolve in the whole space. In practice, however, the agents often have constraints on their state. The aim of this Thesis is to understand the consequence of such constraints on the analysis of mean field games. We first show that the Nash MFG equilibria can be described as fixed points on the space of measures on constrained trajectories (generalized MFG equilibria). In order to obtain more precise results on these equilibria, we show a smooth optimality principle for the optimal trajectories of control problem with state constraints. We derive from this that the generalized equilibria satisfy a MFG system in which the Hamilton-Jacobi equation and the continuity equation have to be understand in a specific sense
Mezerdi, Mohamed Amine. "Equations différentielles stochastiques de type McKean-Vlasov et leur contrôle optimal." Electronic Thesis or Diss., Toulon, 2020. http://www.theses.fr/2020TOUL0014.
Повний текст джерелаWe consider Mc Kean-Vlasov stochastic differential equations (SDEs), which are SDEs where the drift and diffusion coefficients depend not only on the state of the unknown process but also on its probability distribution. These SDEs called also mean- field SDEs were first studied in statistical physics and represent in some sense the average behavior of an infinite number of particles. Recently there has been a renewed interest for this kind of equations in the context of mean-field game theory. Since the pioneering papers by P.L. Lions and J.M. Lasry, mean-field games and mean-field control theory has raised a lot of interest, motivated by applications to various fields such as game theory, mathematical finance, communications networks and management of oil resources. In this thesis, we studied questions of stability with respect to initial data, coefficients and driving processes of Mc Kean-Vlasov equations. Generic properties for this type of SDEs, such as existence and uniqueness, stability with respect to parameters, have been investigated. In control theory, our attention were focused on existence, approximation of relaxed controls for controlled Mc Kean-Vlasov SDEs
Книги з теми "Contrôle à champ moyen"
Jean-Michel, Poisson, ed. Mines et pouvoirs: Le contrôle seigneurial de l'exploitation minière au Moyen A. Lyon: Presses universitaires de Lyon, 2006.
Знайти повний текст джерелаGéopolitique des technologies de l'information et de la communication au Moyen-Orient: Entre compétitivité étatique et stratégie de contrôle. Paris: L'Harmattan, 2011.
Знайти повний текст джерелаContrôle et escalades verbales: Politique et régulation au moyen de la langue. Heidelberg: Universitätsverlag Winter, 2019.
Знайти повний текст джерелаTembine, Hamidou, and Julian Barreiro-Gomez. Mean-Field-Type Games for Engineers. Taylor & Francis Group, 2021.
Знайти повний текст джерелаMean-Field-Type Games for Engineers. Taylor & Francis Group, 2021.
Знайти повний текст джерелаMean Field Simulation For Monte Carlo Integration. Taylor & Francis Inc, 2013.
Знайти повний текст джерелаRichard, Olivier, and Gabriel Zeilinger. La participation politique dans les villes du Rhin supérieur à la fin du Moyen Âge / Politische Partizipation in spätmittelalterlichen Städten am Oberrhein. Erich Schmidt Verlag GmbH & Co. KG, 2017. http://dx.doi.org/10.37307/b.978-3-503-17488-1.
Повний текст джерелаSaad, David, and Manfred Opper. Advanced Mean Field Methods: Theory and Practice. MIT Press, 2019.
Знайти повний текст джерела(Editor), Manfred Opper, and David Saad (Editor), eds. Advanced Mean Field Methods: Theory and Practice (Neural Information Processing). The MIT Press, 2001.
Знайти повний текст джерелаЧастини книг з теми "Contrôle à champ moyen"
Le Jan, R., and F. Bougard. "Hiérarchie: le concept et son champ d’application dans les sociétés du haut Moyen Âge." In Haut Moyen Âge, 5–19. Turnhout: Brepols Publishers, 2008. http://dx.doi.org/10.1484/m.hama-eb.3.556.
Повний текст джерелаMartin, Céline. "Valerius et l’ennemi. Grands proprietaires, clercs, cénobites et ermites face au contrôle du sacre dans le Bierzo du viie siècle." In Haut Moyen Âge, 67–84. Turnhout: Brepols Publishers, 2015. http://dx.doi.org/10.1484/m.hama-eb.5.107345.
Повний текст джерелаFiore, Alessio. "Les châteaux et la compétition pour le contrôle des ressources économiques (Italie du Centre et du Nord, 900-c. 1120)." In Haut Moyen Âge, 189–206. Turnhout: Brepols Publishers, 2017. http://dx.doi.org/10.1484/m.hama-eb.5.112178.
Повний текст джерелаRichard, Olivier. "La memoria du patriciat et le contrôle du territoire urbain à Ratisbonne à la fin du Moyen Âge (xive - début du xvie siècle)." In Voisinages, coexistences, appropriations, 95–118. Turnhout: Brepols Publishers, 2007. http://dx.doi.org/10.1484/m.seuh-eb.3.1278.
Повний текст джерела"Chapitre 5 Champ moyen." In Magnétisme et supraconductivité, 103–18. EDP Sciences, 1997. http://dx.doi.org/10.1051/978-2-7598-0279-1.c006.
Повний текст джерела"3 Approximations de champ moyen." In Physique de la matière condensée, 81–112. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1097-0-006.
Повний текст джерела"3 Approximations de champ moyen." In Physique de la matière condensée, 81–112. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1097-0.c006.
Повний текст джерела"Chapitre 5. Doctes et simples : le champ du débat." In Haut Moyen Âge, 303–67. Turnhout: Brepols Publishers, 2017. http://dx.doi.org/10.1484/m.hama-eb.4.2017011.
Повний текст джерелаAby, Romain. "Cybersécurité et contrôle de la région." In Le Moyen-Orient et le monde, 239–45. La Découverte, 2020. http://dx.doi.org/10.3917/dec.badie.2020.01.0239.
Повний текст джерела"Chapitre III. BRISURE SPONTANEE DE SYMETRIE CHAMP MOYEN." In Théorie statistique des champs (Vol. I), 105–58. EDP Sciences, 1989. http://dx.doi.org/10.1051/978-2-7598-0298-2.c004.
Повний текст джерелаТези доповідей конференцій з теми "Contrôle à champ moyen"
André, J. M., and P. Jonnard. "Contrôle de l’émission spontanée de rayonnement X au moyen d’un cristal photonique mono-dimensionnel." In UVX 2010 - 10e Colloque sur les Sources Cohérentes et Incohérentes UV, VUV et X ; Applications et Développements Récents. Les Ulis, France: EDP Sciences, 2011. http://dx.doi.org/10.1051/uvx/2011022.
Повний текст джерелаЗвіти організацій з теми "Contrôle à champ moyen"
Mörch, Carl-Maria, Pascale Lehoux, Marc-Antoine Dilhac, Catherine Régis, and Xavier Dionne. Recommandations pratiques pour une utilisation responsable de l’intelligence artificielle en santé mentale en contexte de pandémie. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, December 2020. http://dx.doi.org/10.61737/mqaf7428.
Повний текст джерела