Review for NeurIPS paper: A Local Temporal Difference Code for Distributional Reinforcement Learning

Clarity: This is my biggest issue with this paper: it is _very_ difficult to follow and most of the figures are difficult to interpret. In more detail: - Overall, there are too many references to the supplemental material (e.g. "see SM-C") for things that are necessary for understanding the main paper. What do the bar plots on top of the grid represent? What are the dark and grey lines on the right plot meant to represent?