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cs.LG2022★ 1 cited
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen, Chris Junchi Li, Angela Yuan +2
With the increasing need for handling large state and action spaces, general function approximation has become a key technique in reinforcement learning (RL). In this paper, we pro…
stat.ML2022
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems
Chris Junchi Li, Michael I. Jordan
Motivated by the problem of online canonical correlation analysis, we propose the \emph{Stochastic Scaled-Gradient Descent} (SSGD) algorithm for minimizing the expectation of a sto…