7 citations · 12 across the 13 of their papers we have counts for
10 papers · 1 filter
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…
A Q-learning algorithm for discrete-time linear-quadratic control with random parameters of unknown distribution: convergence and stabilization
Kai Du, Qingxin Meng, Fu Zhang
This paper studies an infinite horizon optimal control problem for discrete-time linear systems and quadratic criteria, both with random parameters which are independent and identi…
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…
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…
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…
Maximum Principle of Forward-Backward Stochastic Differential System of Mean-Field Type with Observation Noise
Qingxin Meng, Qiuhong Shi, Maoning Tang
This paper is concerned with the partial information optimal control problem of mean-field type under partial observation, where the system is given by a controlled mean-field forw…