Review for NeurIPS paper: Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes

Reviewers agreed the paper contains interesting and sound contributions to an important problem, and is generally well written, although the model is fairly complex and the experimental domains are a bit simple. The authors are encouraged to provide further details to justify/explain certain algorithmic choices, include some of the key derivation steps (maybe with details in the appendix), and augment the experiments (like those in the rebuttal).