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20242026
most citedOptimality of Symmetric Independent Policies under Decentralized Mean-Field Information Sharing for Stochastic Teams and Equivalence with McKean-Vlasov Control of a Representative Agent

1 citations · 2 across the 4 of their papers we have counts for

collaborators

9 papers

math.OC20261 cited

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…

cs.LG2026

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-…

math.OC2026

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…

stat.ML20261 cited

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…

math.OC2025

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…

quant-ph2025

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 Ma…