most citedSolving the k-sparse Eigenvalue Problem with Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

physics.comp-ph2020★ 1 cited

Solving the k-sparse Eigenvalue Problem with Reinforcement Learning

Li Zhou, Lihao Yan, Mark A. Caprio +2

We examine the possibility of using a reinforcement learning (RL) algorithm to solve large-scale eigenvalue problems in which the desired the eigenvector can be approximated by a s…

cs.LG2015

A Note on Information-Directed Sampling and Thompson Sampling

Li Zhou

This note introduce three Bayesian style Multi-armed bandit algorithms: Information-directed sampling, Thompson Sampling and Generalized Thompson Sampling. The goal is to give an i…