Review for NeurIPS paper: Non-Crossing Quantile Regression for Distributional Reinforcement Learning

The strong rebuttal with additional results on NC-IQN swayed multiple initially hesitant reviewers to argue for acceptance, and I concur. The one unresolved concern is about reproducing the baseline results more accurately: I assume this is a matter of codebase/implementation details that does not detract from fair head-to-head comparisons.