Reviews: Shaping Belief States with Generative Environment Models for RL

Neural Information Processing Systems 

Post rebuttal update: I appreciate the additional explanation for need of overshooting in empirical methods, and the clarity of response regarding stochastic models. The issue I took was with Sec 2.2, that next-step prediction is insufficient to produce belief states, which is only an issue with approximation error when dealing with empirical results. This is not clearly explained in the paper, but clarified much more nicely in the rebuttal. This would cause me to raise my score from a 3 to a 4 for the misunderstanding, but I still do not find this paper worthy of acceptance. I don't think they are particularly surprising insights, and it seems the sole merit of this paper is an empirical one, and impressive because of performance on complex tasks.