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20162026
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math.OC2026

Randomized Optimal Switching Problem and Related Mirror Descent Flow

Yuchao Dong

We study continuous-time reinforcement learning for the optimal switching problem, in which a decision-maker controls a diffusion process by switching among finitely many regimes,…

math.OC2020

The Relationship between Maximum Principle and Dynamic Programming Principle for Stochastic Recursive Control Problem with Random Coefficients

Yuchao Dong, Qingxin Meng, Qi Zhang

This paper aims to explore the relationship between maximum principle and dynamic programming principle for stochastic recursive control problem with random coefficients. Under cer…

math.OC2020

Optimal controls of stochastic differential equations with jumps and random coefficients: Stochastic Hamilton-Jacobi-Bellman equations with jumps

Qingxin Meng, Yuchao Dong, Yang Shen +1

In this paper, we study the following nonlinear backward stochastic integral partial differential equation with jumps \begin{equation*} \left\{ \begin{split} -d V(t,x) =&\displayst…

math.OC2018

Backward Stochastic Riccati Equation with Jumps associated with Stochastic Linear Quadratic Optimal Control with Jumps and Random Coefficients

Fu Zhang, Yuchao Dong, Qingxin Meng

In this paper, we investigate the solvability of matrix valued Backward stochastic Riccati equations with jumps (BSREJ), which is associated with a stochastic linear quadratic (SLQ…

math.OC2018

Second-Order Necessary Conditions for Optimal Control with Recursive Utilities

Yuchao Dong, Qingxin Meng

The necessary conditions for an optimal control of a stochastic control problem with recursive utilities is investigated. The first order condition is the the well-known Pontryagin…

math.OC2016

Constrained LQ problem with a random jump and application to portfolio selection

Yuchao Dong

In this paper, we consider a constrained stochastic linear-quadratic (LQ) optimal control problem where the control is constrained in a closed cone. The state process is governed b…