Reviews: Unsupervised Curricula for Visual Meta-Reinforcement Learning

This work makes progress in the unsupervised meta-learning domain with visual features. This work contributes a model for how to automatically learn useful data in an unsupervised sense, and to incorporate that into a meta learner. All three reviewers find the work novel and significant, and hence I recommend acceptance.