3 papers
math.OC2026
Model-Free Q-Learning for Infinite-Horizon Stochastic Linear Quadratic Problems with Regime Switching
Xinyue Zhang, Na Li, Xun Li +1
This paper addresses infinite-horizon continuous-time stochastic linear quadratic optimal control problems with regime switching. We propose a paradigm shift from model-based desig…
math.OC2026
Inverse Optimal Control for Linear Quadratic Problem with Poisson Jumps: Model-Free Inverse Reinforcement Learning Approaches
Wen Du, Na Li, Xun Li +1
This paper addresses the inverse optimal control (IOC) problem for stochastic linear systems subject to both Brownian motion and Poisson jumps, using an inverse reinforcement learn…
math.OC2023
Policy Iteration Reinforcement Learning Method for Continuous-Time Linear-Quadratic Mean-Field Control Problems
Na Li, Xun Li, Zuo Quan Xu
This paper employs a policy iteration reinforcement learning (RL) method to study continuous-time linear-quadratic mean-field control problems in infinite horizon. The drift and di…