Review for NeurIPS paper: Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions

Additional Feedback: There were many thinks liked about the paper, including the idea of having an ML-advisor algorithm be e-close and alpha-accurate. I also liked the interpretation of a Hedge algorithm with an advisor give on page 5. In some ways the Hedge formalization, though, seems to minimize the use of predictors to just giving a prior. As someone interested in this area I find that a not especially hopeful or compelling message, but perhaps for some problems that's the right methodology. The experiments don't seem that useful.