3 citations · 16 across the 19 of their papers we have counts for
19 papers
Path-independent Flow Matching for Multi-parameter Generative Dynamics
Francisco Téllez, AmirHossein Zamani, Philippe Martin +5
Flow Matching is a powerful framework for learning transport maps between probability distributions. Yet its standard single-parameter formulation is not designed to capture multi-…
Mean-Field Systems with Heterogeneous Subteams: Optimality of Cluster-Symmetric Independent Policies and Equivalence with Decentralized McKean-Vlasov Control of Cluster-Representative Agents
Connor S. Braun, Sina Sanjari, Naci Saldi +2
Across science and engineering, mean-field methods have been a powerful and versatile approach for the analysis of systems of many interacting elements. However, common arguments u…
Decentralized Detection with Many Sensors: Optimality of Exchangeable and Identical Encoding Policies
Sina Sanjari, Naci Saldi, Sinan Gezici +1
We study a class of binary detection problems involving a single fusion center and a large or countably infinite number of sensors. Each sensor acts under a decentralized informati…
Nonparametric Sparse Online Learning of the Koopman Operator
Boya Hou, Sina Sanjari, Nathan Dahlin +2
The Koopman operator provides a powerful framework for representing the dynamics of general nonlinear dynamical systems. Data-driven techniques to learn the Koopman operator typica…
Nonparametric Sparse Online Learning of the Koopman Operator
Boya Hou, Sina Sanjari, Nathan Dahlin +2
The Koopman operator provides a powerful framework for representing the dynamics of general nonlinear dynamical systems. However, existing data-driven approaches to learning the Ko…
Decentralized Exchangeable Stochastic Dynamic Teams in Continuous-time, their Mean-Field Limits and Optimality of Symmetric Policies
Sina Sanjari, Naci Saldi, Serdar Yüksel
We study a class of stochastic exchangeable teams comprising a finite number of decision makers (DMs) as well as their mean-field limits involving infinite numbers of DMs. In the f…
Optimality of Symmetric Independent Policies under Decentralized Mean-Field Information Sharing for Stochastic Teams and Equivalence with McKean-Vlasov Control of a Representative Agent
Sina Sanjari, Naci Saldi, Serdar Yüksel
We study a class of stochastic exchangeable teams with a finite number of decision makers (DMs) as well as their mean-field limits with infinitely many DMs. In the finite populatio…
Quantum Markov Decision Processes: Dynamic and Semi-Definite Programs for Optimal Solutions
Naci Saldi, Sina Sanjari, Serdar Yuksel
In this paper, building on the formulation of quantum Markov decision processes (q-MDPs) presented in our previous work [{\sc N.~Saldi, S.~Sanjari, and S.~Yüksel}, {\em Quantum Mar…
Quantum Markov Decision Processes: General Theory, Approximations, and Classes of Policies
Naci Saldi, Sina Sanjari, Serdar Yuksel
In this paper, the aim is to develop a quantum counterpart to classical Markov decision processes (MDPs). Firstly, we provide a very general formulation of quantum MDPs with state…
Nash Equilibria for Exchangeable Team against Team Games, their Mean Field Limit, and Role of Common Randomness
Sina Sanjari, Naci Saldi, Serdar Yüksel
We study stochastic mean-field games among finite number of teams with large finite as well as infinite number of decision makers. For this class of games within static and dynamic…
Incentive Designs for Stackelberg Games with a Large Number of Followers and their Mean-Field Limits
Sina Sanjari, Subhonmesh Bose, Tamer Başar
We study incentive designs for a class of stochastic Stackelberg games with one leader and a large number of (finite as well as infinite population of) followers. We investigate wh…
Isomorphism Properties of Optimality and Equilibrium Solutions under Equivalent Information Structure Transformations: Stochastic Dynamic Games and Teams
Sina Sanjari, Tamer Başar, Serdar Yüksel
Static reduction of information structures (ISs) is a method that is commonly adopted in stochastic control, team theory, and game theory. One approach entails change of measure ar…
Isomorphism Properties of Optimality and Equilibrium Solutions under Equivalent Information Structure Transformations I: Stochastic Dynamic Teams
Sina Sanjari, Tamer Başar, Serdar Yüksel
In stochastic optimal control, change of measure arguments have been crucial for stochastic analysis. Such an approach is often called static reduction in dynamic team theory (or d…
Optimality of Independently Randomized Symmetric Policies for Exchangeable Stochastic Teams with Infinitely Many Decision Makers
Sina Sanjari, Naci Saldi, Serdar Yüksel
We study stochastic team (known also as decentralized stochastic control or identical interest stochastic dynamic game) problems with large or countably infinite number of decision…
Optimal Policies for Convex Symmetric Stochastic Dynamic Teams and their Mean-field Limit
Sina Sanjari, Serdar Yüksel
This paper studies convex stochastic dynamic team problems with finite and infinite time horizons under decentralized information structures. First, we introduce two notions called…
Optimal Solutions to Infinite-Player Stochastic Teams and Mean-Field Teams
Sina Sanjari, Serdar Yüksel
We study stochastic static teams with countably infinite number of decision makers, with the goal of obtaining (globally) optimal policies under a decentralized information structu…
Finite-time Stability Analysis for Random Nonlinear Systems
Sina Sanjari, Mahdieh Tahmasebi
This paper presents an analysis approach to finite-time attraction in probability concerns with nonlinear systems described by nonlinear random differential equations (RDE). RDE pr…
Sliding Mode Control Design: a Sum of Squares Approach
Sina Sanjari, Sadjaad Ozgoli
This paper presents an approach to systematically design sliding mode control and manifold to stabilize nonlinear uncertain systems. The objective is also accomplished to enlarge t…
Finite time analysis based on Sum of Squares Technique: Applied to the super-twisting second order sliding mode control
S. Sanjari, S. Ozgoli
Finite time analysis of the continuous system is investigated through both stability and stabilization based on Sum of squares programming. A systematic approach is proposed to con…