Reviews: Policy Poisoning in Batch Reinforcement Learning and Control

Dear authors: your paper was carefully evaluated by the reviewers, and was discussed after we received the rebuttal. There was general agreement that this was an interesting paper and worthy of acceptance at NeurIPS 2019. Adversarial attacks on policy learning in RL is very timely. I would like to note, however, that I solicited some outside feedback on this paper after the reviews were in, and this feedback had both positive and negative comments. This 4th perspective was, I think, particularly on point and worth reading carefully, and I will share it below.