Zobrazeno 1 - 10
of 6 516
pro vyhledávání: '"A Bensoussan"'
In this paper, we focus on a class of time-inconsistent stochastic control problems, where the objective function includes the mean and several higher-order central moments of the terminal value of state. To tackle the time-inconsistency, we seek bot
Externí odkaz:
http://arxiv.org/abs/2412.13521
In this article, from the viewpoint of control theory, we discuss the relationships among the commonly used monotonicity conditions that ensure the well-posedness of the solutions arising from problems of mean field games (MFGs) and mean field type c
Externí odkaz:
http://arxiv.org/abs/2412.05189
In this paper, we study a class of degenerate mean field games (MFGs) with state-distribution dependent and unbounded functional diffusion coefficients. With a probabilistic method, we study the well-posedness of the forward-backward stochastic diffe
Externí odkaz:
http://arxiv.org/abs/2410.12404
Autor:
d'Aloisio, Giordano, Fortz, Sophie, Hanna, Carol, Fortunato, Daniel, Bensoussan, Avner, Usandizaga, Eñaut Mendiluze, Sarro, Federica
Background: Quantum computing is a rapidly growing new programming paradigm that brings significant changes to the design and implementation of algorithms. Understanding quantum algorithms requires knowledge of physics and mathematics, which can be c
Externí odkaz:
http://arxiv.org/abs/2409.19028
In this paper, we explore accelerating Hamiltonian ground state energy calculation on NISQ devices. We suggest using search-based methods together with machine learning to accelerate quantum algorithms, exemplified in the Quantum Eigensolver use case
Externí odkaz:
http://arxiv.org/abs/2409.13587
Autor:
Anibal, James, Gunkel, Jasmine, Awan, Shaheen, Huth, Hannah, Nguyen, Hang, Le, Tram, Bélisle-Pipon, Jean-Christophe, Boyer, Micah, Hazen, Lindsey, Consortium, Bridge2AI Voice, Bensoussan, Yael, Clifton, David, Wood, Bradford
Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors which could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control over patient
Externí odkaz:
http://arxiv.org/abs/2408.07896
Autor:
Anibal, James, Huth, Hannah, Li, Ming, Hazen, Lindsey, Daoud, Veronica, Ebedes, Dominique, Lam, Yen Minh, Nguyen, Hang, Hong, Phuc, Kleinman, Michael, Ost, Shelley, Jackson, Christopher, Sprabery, Laura, Elangovan, Cheran, Krishnaiah, Balaji, Akst, Lee, Lina, Ioan, Elyazar, Iqbal, Ekwati, Lenny, Jansen, Stefan, Nduwayezu, Richard, Garcia, Charisse, Plum, Jeffrey, Brenner, Jacqueline, Song, Miranda, Ricotta, Emily, Clifton, David, Thwaites, C. Louise, Bensoussan, Yael, Wood, Bradford
Artificial intelligence (AI) models trained on audio data may have the potential to rapidly perform clinical tasks, enhancing medical decision-making and potentially improving outcomes through early detection. Existing technologies depend on limited
Externí odkaz:
http://arxiv.org/abs/2404.01620
We prove the global-in-time well-posedness for a broad class of mean field game problems, which is beyond the special linear-quadratic setting, as long as the mean field sensitivity is not too large. Through the stochastic maximum principle, we adopt
Externí odkaz:
http://arxiv.org/abs/2402.01639
We study the well-posedness of a system of forward-backward stochastic differential equations (FBSDEs) corresponding to a degenerate mean field type control problem, when the diffusion coefficient depends on the state together with its measure and al
Externí odkaz:
http://arxiv.org/abs/2311.09138
This article presents the variant of the approach introduced in the recent work of Bensoussan, Wong, Yam and Yuan [13] to the generic first-order mean field game problem. A major contribution here is the provision of new crucial a priori estimates, w
Externí odkaz:
http://arxiv.org/abs/2311.11896