Reviews: Regression Planning Networks

This submission drew a great deal of discussion -- primarily on the point of the role of learning. All reviewers agreed that the approach had the potential to learn interesting, non-trivial things but did not feel the the current experiments demonstrated these effectively -- despite strong performance on the task. Some examples of questions that were not answered by the main draft but came up in the discussion: [Training Data] The training data provides edges in the dependency graph, subgoals, and predicate value -- image pairs. One question was whether the union of the seen dependency graph constituted the entire true underlying graph. Similarly, do all predicate-object pairs occur?