[ad_1] In GameGAN’s case, the generative network was trained using 50,000 play sessions of the game and then told to recreate it as a whole, from the static walls and pellets to the ghosts, Pac-Man himself and the rules governing their interactions. The entire process ran on a quartet of GP100s. GameGAN was not, however, […]