35 citations · 132 across the 27 of their papers we have counts for
4 papers · 1 filter
Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems
Michael Giegrich, Christoph Reisinger, Yufei Zhang
We study the global linear convergence of policy gradient (PG) methods for finite-horizon continuous-time exploratory linear-quadratic control (LQC) problems. The setting includes…
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning
Tan Yu, Jun Zhi, Yufei Zhang +3
APP-installation information is helpful to describe the user's characteristics. The users with similar APPs installed might share several common interests and behave similarly in s…
Optimal scheduling of entropy regulariser for continuous-time linear-quadratic reinforcement learning
Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang
This work uses the entropy-regularised relaxed stochastic control perspective as a principled framework for designing reinforcement learning (RL) algorithms. Herein agent interacts…
Linear convergence of a policy gradient method for some finite horizon continuous time control problems
Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang
Despite its popularity in the reinforcement learning community, a provably convergent policy gradient method for continuous space-time control problems with nonlinear state dynamic…