Review for NeurIPS paper: Continual Deep Learning by Functional Regularisation of Memorable Past

All four expert reviewers were positive about this work, and the author rebuttal along with a lively post-rebuttal discussion improved the opinions. I agree with the reviewers that this is a high quality paper and my decision is to accept. I encourage the authors to take reviewer suggestions into account -- especially the promise to provide longer task sequences and the discussion of connections between gradient-based sample selection and the proposed memorable sample selection approach.