“Learning to Simulate Dynamic Environments With GameGAN [Homepage]”, Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler2020-05 (, ; similar)⁠:

[Project page for GameGAN, a GAN which can learn and model a playable arcade game such as Pac-Man.

This landing page includes diagrams, videos demonstrating GameGAN trained on the official version of Pac-Man, GameGAN trained on a custom version of Pac-Man and VizDoom, GameGAN trained with memory module & disentangling rendering engine, and swapping foreground / background.]