1 citations · 1 across the 4 of their papers we have counts for
6 papers
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…
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…
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…