Learning Plannable Representations with Causal InfoGAN

Thanard Kurutach, Aviv Tamar, Ge Yang +2

In recent years, deep generative models have been shown to 'imagine' convincing high-dimensional observations such as images, audio, and even video, learning directly from raw data…