Re:Learning Plannable Representations with Causal InfoGAN [pdf]
by ilovewhiskey on Wednesday August 01, 2018 @03:06AM
(#17660268)
This approach is very similar to a AAAI18 paper [1] that also finds a binary representation ("plannable representation") using VAEs and performs planning algorithms, but the difference is that they included some experiments for continuous abstract states.
I personally prefer VAEs because GANs are hard to train.
[1] arxiv.org/abs/1705.00154