research
∙
09/08/2023
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity
Zero-sum Linear Quadratic (LQ) games are fundamental in optimal control ...
share
research
∙
06/02/2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
We consider the reinforcement learning (RL) problem with general utiliti...
research
∙
02/03/2023
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
Recently, the impressive empirical success of policy gradient (PG) metho...
research
∙
06/14/2021
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
Actor-critic methods integrating target networks have exhibited a stupen...
research
∙
11/18/2019
Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
Although ADAM is a very popular algorithm for optimizing the weights of ...
research
∙
10/04/2018