NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:5531
Title: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.