Review for NeurIPS paper: Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

The contributions were unanimously appreciated (the paper introduces an interesting structure, the regret analysis including the low-matrix estimation part is interesting). We recommend the paper for acceptance and encourage the authors to account for the reviewers' comments when preparing the camera-ready version of the paper.