Review for NeurIPS paper: DISK: Learning local features with policy gradient

The paper presents a new technique for learning feature matching using reinforcement learning. Strengths are good experimental results showing the technique is effective in several problems. Weaknesses are some concerns about positioning (motivation, related work), but these are addressed in the rebuttal. The final reviews are uniformly positive. This is a clear accept.