activity
20112023
most citedMean-field-game model for Botnet defense in Cyber-security

60 citations · 133 across the 19 of their papers we have counts for

collaborators

25 papers

math.OC2023

Reproducing kernel approach to linear quadratic mean field control problems

Pierre-Cyril Aubin-Frankowski, Alain Bensoussan

Mean-field control problems have received continuous interest over the last decade. Despite being more intricate than in classical optimal control, the linear-quadratic setting can…

math.OC2023

Alternating minimization for simultaneous estimation of a latent variable and identification of a linear continuous-time dynamic system

Pierre-Cyril Aubin-Frankowski, Alain Bensoussan, S. Joe Qin

We propose an optimization formulation for the simultaneous estimation of a latent variable and the identification of a linear continuous-time dynamic system, given a single input-…

math.OC2023

Mean Field Type Control Problems, Some Hilbert-space-valued FBSDEs, and Related Equations

Alain Bensoussan, Ho Man Tai, Sheung Chi Phillip Yam

In this article, we provide an original systematic global-in-time analysis of mean field type control problems on with generic cost functionals by the modified appro…

math.OC2023

A Theory of First Order Mean Field Type Control Problems and their Equations

Alain Bensoussan, Tak Kwong Wong, Sheung Chi Phillip Yam +1

In this article, by using several new crucial {\it a priori} estimates which are still absent in the literature, we provide a comprehensive resolution of the first order generic me…

math.NA2022★ 1 cited

A Deep Learning Approximation of Non-Stationary Solutions to Wave Kinetic Equations

Steven Walton, Minh-Binh Tran, Alain Bensoussan

We present a deep learning approximation, stochastic optimization based, method for wave kinetic equations. To build confidence in our approach, we apply the method to a Smoluchows…

math.OC2022

The reproducing kernel Hilbert spaces underlying linear SDE Estimation, Kalman filtering and their relation to optimal control

Pierre-Cyril Aubin-Frankowski, Alain Bensoussan

It is often said that control and estimation problems are in duality. Recently, in (Aubin-Frankowski,2021), we found new reproducing kernels in Linear-Quadratic optimal control by…

math.OC2022

Operator-valued Kernels and Control of Infinite dimensional Dynamic Systems

Pierre-Cyril Aubin-Frankowski, Alain Bensoussan

The Linear Quadratic Regulator (LQR), which is arguably the most classical problem in control theory, was recently related to kernel methods in (Aubin-Frankowski, SICON, 2021) for…

math.OC2021

Control in Hilbert Space and First Order Mean Field Type Problem

Alain Bensoussan, Henry Hang Cheung, Sheung Chi Phillip Yam

We extend the work \cite{bensoussan2019control} by two of the coauthors, which dealt with a deterministic control problem for which the Hilbert space could be generic and investiga…

math.OC2021

Value-Gradient based Formulation of Optimal Control Problem and Machine Learning Algorithm

Alain Bensoussan, Jiayue Han, Sheung Chi Phillip Yam +1

Optimal control problem is typically solved by first finding the value function through Hamilton-Jacobi equation (HJE) and then taking the minimizer of the Hamiltonian to obtain th…

cs.LG2020★ 1 cited

Machine Learning and Control Theory

Alain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen +3

We survey in this article the connections between Machine Learning and Control Theory. Control Theory provide useful concepts and tools for Machine Learning. Conversely Machine Lea…

math.OC2020

Identification of linear dynamical systems and machine learning

Alain Bensoussan, Fatih Gelir, Viswanath Ramakrishna +1

The topic of identification of dynamic systems, has been at the core of modern control , following the fundamental works of Kalman. Realization Theory has been one of the major out…

math.PR2020

Control on Hilbert Spaces and Application to Some Mean Field Type Control Problems

Alain Bensoussan, P. Jameson Graber, Sheung Chi Phillip Yam

We propose a new approach to studying classical solutions of the Bellman equation and Master equation for mean field type control problems, using a novel form of the "lifting" idea…

math.OC2019

Mean Field approach to stochastic control with partial information

Alain Bensoussan, Sheung Chi Phillip Yam

The classical stochastic control problem under partial information can be formulated as a control problem for Zakai equation, whose solution is the unnormalized conditional probabi…

math.OC2019★ 7 cited

Stochastic Control on Space of Random Variables

Alain Bensoussan, P. Jameson Graber, S. C. P. Yam

By extending \cite{bensoussan2015control}, we implement the proposal of Lions \cite{lions14} on studying mean field games and their master equations via certain control problems on…

math.OC2018★ 24 cited

Mean Field Control and Mean Field Game Models with Several Populations

Alain Bensoussan, Tao Huang, Mathieu Laurière

In this paper, we investigate the interaction of two populations with a large number of indistinguishable agents. The problem consists in two levels: the interaction between agents…

math.OC2018

Optimal periodic replenishment policies for spectrally positive Lévy demand processes

José-Luis Pérez, Kazutoshi Yamazaki, Alain Bensoussan

We consider a version of the stochastic inventory control problem for a spectrally positive Lévy demand process, in which the inventory can only be replenished at independent expon…

math.AP2017

Bellman systems with mean field dependent dynamics

Alain Bensoussan, Miroslav Bulíček, Jens Frehse

We deal with nonlinear elliptic and parabolic systems that are the Bellman like systems associated to stochastic differential games with mean field dependent dynamics. The key nove…

math.OC2017

Risk-Sensitive Mean-Field-Type Control

Alain Bensoussan, Boualem Djehiche, Hamidou Tembine +1

We study risk-sensitive optimal control of a stochastic differential equation (SDE) of mean-field type, where the coefficients are allowed to depend on some functional of the law a…

math.OC2015★ 60 cited

Mean-field-game model for Botnet defense in Cyber-security

Vassili Kolokoltsov, Alain Bensoussan

We initiate the analysis of the response of computer owners to various offers of defence systems against a cyber-hacker (for instance, a botnet attack), as a stochastic game of a l…

math.OC2015

On The Interpretation Of The Master Equation

Alain Bensoussan, Jens Frehse, Phillip Yam

Since its introduction by P.L. Lions in his lectures and seminars at the College de France, see [9], and also the very helpful notes of Cardialaguet [4] on Lions' lectures, the Mas…

math.OC2014★ 32 cited

Linear-Quadratic Mean Field Games

Alain Bensoussan, Joseph Sung, Phillip Yam +1

In this article, we provide a comprehensive study of the linear-quadratic mean field games via the adjoint equation approach; although the problem has been considered in the litera…

math.AP2014★ 8 cited

The Master Equation in Mean Field Theory

Alain Bensoussan, Jens Frehse, Phillip Yam

In his lectures at College de France, P.L. Lions introduced the concept of Master equation, see [5] for Mean Field Games. It is introduced in a heuristic fashion, from the system o…

math.OC2012

The Maximum Principle for Global Solutions of Stochastic Stackelberg Differential Games

Alain Bensoussan, Shaokuan Chen, Suresh P. Sethi

This paper obtains the maximum principle for both stochastic (global) open-loop and stochastic (global) closed-loop Stackelberg differential games. For the closed-loop case, we use…

math.AP2011

Degenerate Dirichlet Problems Related to the Ergodic Property of an Elasto-Plastic Oscillator Excited by a Filtered White Noise

Alain Bensoussan, Laurent Mertz

A stochastic variational inequality is proposed to model an elasto-plastic oscillator excited by a filtered white noise. We prove the ergodic properties of the process and characte…