NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:8106
Title:When to use parametric models in reinforcement learning?

There's consensus that this is a well written paper that offers some useful insights about the pros and cons of model-based RL vs. model-free RL with replay buffers. This is an important topic and this paper has the potential to make significant impact. However, the authors are urged to be careful about not making overly general conclusions in the final version of the paper, as this was a concern of one reviewer. Even the title may be too general. Strong paper overall though.