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20222026
most citedControlling a nonlinear Fokker-Planck equation via inputs with nonlocal action

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Vanishing L2 regularization for the softmax Multi Armed Bandit

Stefana-Lucia Anita, Gabriel Turinici

Multi Armed Bandit (MAB) algorithms are a cornerstone of reinforcement learning and have been studied both theoretically and numerically. One of the most commonly used implementati…

math.OC2025

A Mean Field Game System and a Related Deterministic Optimal Control Problem

Stefana-Lucia Anita

This paper concerns a Mean Field Game (MFG) system related to a Nash type equilibrium for dynamical games associated to large populations. One shows that the MFG system may be view…

math.OC2025

Nonlocal Stochastic Optimal Control for Diffusion Processes: Existence, Maximum Principle and Financial Applications

Stefana-Lucia Anita, Luca Di Persio

This paper investigates the optimal control problem for a class of parabolic equations where the diffusion coefficient is influenced by a control function acting nonlocally. Specif…

stat.ML2024

Convergence of a L2 regularized Policy Gradient Algorithm for the Multi Armed Bandit

Stefana Anita, Gabriel Turinici

Although Multi Armed Bandit (MAB) on one hand and the policy gradient approach on the other hand are among the most used frameworks of Reinforcement Learning, the theoretical prope…

math.OC2022★ 1 cited

Controlling a nonlinear Fokker-Planck equation via inputs with nonlocal action

Stefana-Lucia Anita

This paper concerns an optimal control problem related to a nonlinear Fokker-Planck equation. The problem is deeply related to a stochastic optimal control problem fo…