most citedFictitious Play for Mean Field Games with Optimal Stopping: Convergence and Computation

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

collaborators

5 papers

econ.TH2025

Recursive contracts in non-convex environments

Chengfeng Shen, Felix Kübler, Zhennan Zhou

In this paper we examine non-convex dynamic optimization problems with forward looking constraints. We prove that the recursive multiplier formulation in \cite{marcet2019recursive}…

econ.TH2025

A Lagrangian Approach to Optimal Randomization

Chengfeng Shen, Felix Kübler, Yucheng Yang +1

We develop an efficient method for solving non-convex constrained optimization problems that are pervasive in economics. The optimal solution to these problems often involves rando…

cs.LG2023

Prompt Engineering Through the Lens of Optimal Control

Yifan Luo, Yiming Tang, Chengfeng Shen +2

Prompt Engineering (PE) has emerged as a critical technique for guiding Large Language Models (LLMs) in solving intricate tasks. Its importance is highlighted by its potential to s…

math.AP2023

Tumor growth with a necrotic core as an obstacle problem in pressure

Xu'an Dou, Chengfeng Shen, Zhennan Zhou

Motivated by the incompressible limit of a cell density model, we propose a free boundary tumor growth model where the pressure satisfies an obstacle problem on an evolving domain…

math.NA20231 cited

Fictitious Play for Mean Field Games with Optimal Stopping: Convergence and Computation

Chengfeng Shen, Yifan Luo, Zhennan Zhou +1

This paper studies mean field games with optimal stopping time (OSMFGs) where agents make optimal exit decisions. Such a model features a coupled obstacle problem and Fokker-Planck…