This is pytorch implementation of "Guider"
Paper link:
Guider consists of three parts of training:
(1) pre-training the latent variable model which embeds reachable
subgoals in latent space via unsupervised learning
(2) training the high-level policy to generate a subgoal that progressively
approaches a given final goal
(3) training the low-level policy that reaches the subgoal generated at the high-level.