Review for NeurIPS paper: Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis

Weaknesses: The main weakness of this paper is that a very similar problem was considered in reference [31], which has a nearly identical title. The main difference between this paper and [31] seems to be in the method: this paper uses gradient tracking, while [31] does not. Nevertheless, both papers show convergence to a neighborhood of the optimal solution, so the theoretical innovation in this paper is not sufficient for NeurIPS publication. The authors mention that the empirical results of this paper are better, but this paper seems focused on theory with a relatively brief simulation section, so it should be evaluated as a theory paper. Additionally, the results here fall short of what one wants to achieve in this setting, which is convergence to the optimal solution.