Reviews: Guided Meta-Policy Search

The proposed method is a novel (and elegant) combination of existing techniques from off-policy learning, imitation learning, guided policy search, and meta-learning. The resulting algorithm is new and I believe it can be valuable to researchers in this field. I think the paper does not sufficiently discuss the related work of Rakelly et al [1] (PEARL). The paper is cited in the related work section as one of the methods based on "recurrent or recursive neural networks". If I remember correctly they don't use recurrency (only in one of their ablation studies to show that their method *outperforms* a recurrent-based encoder).