32 citations · 62 across the 10 of their papers we have counts for
4 papers · 1 filter
Finite-time analysis of single-timescale actor-critic
Xuyang Chen, Lin Zhao
Actor-critic methods have achieved significant success in many challenging applications. However, its finite-time convergence is still poorly understood in the most practical singl…
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator
Jingliang Duan, Wenhan Cao, Yang Zheng +1
The convergence of policy gradient algorithms in reinforcement learning hinges on the optimization landscape of the underlying optimal control problem. Theoretical insights into th…
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator
Xuyang Chen, Jingliang Duan, Yingbin Liang +1
The actor-critic (AC) reinforcement learning algorithms have been the powerhouse behind many challenging applications. Nevertheless, its convergence is fragile in general. To study…
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control
Jingliang Duan, Wenhan Cao, Yang Zheng +1
The convergence of policy gradient algorithms hinges on the optimization landscape of the underlying optimal control problem. Theoretical insights into these algorithms can often b…