NeurIPS 2020

Inverse Reinforcement Learning from a Gradient-based Learner

Meta Review

Drawing upon Inverse RL, the submission proposes learning from an expert, which is using a learning process to optimize its reward. In the initial reviews, three of four reviewers were positive on the submission, and after seeing the author feedback, one of the reviewers was persuaded to raise the overall score, so that the current scores are now (7, 7, 6, 5). With these scores, it will be likely (but not guaranteed) to be accepted to NeurIPS. Regardless, it is important to, and we trust that you will, address all of the issues that were raised by the reviewers in the next version of the manuscript.