NVIDIA: Something Something AI PAC-MAN

Celebrating PAC-MAN's 40th anniversary, the NVIDIA Blog outlines an AI project they say can generate a functional version of PAC-MAN without an underlying game engine. We'll just nod knowingly as if we understand what that means, and wait for them to fulfill their promise to release this later this year on AI Playground. In the meantime, here's a related video and more details:
Trained on 50,000 episodes of the game, a powerful new AI model created by NVIDIA Research, called NVIDIA GameGAN, can generate a fully functional version of PAC-MAN — without an underlying game engine. That means that even without understanding a game’s fundamental rules, AI can recreate the game with convincing results.

GameGAN is the first neural network model that mimics a computer game engine by harnessing generative adversarial networks, or GANs. Made up of two competing neural networks, a generator and a discriminator, GAN-based models learn to create new content that’s convincing enough to pass for the original.

“This is the first research to emulate a game engine using GAN-based neural networks,” said Seung-Wook Kim, an NVIDIA researcher and lead author on the project. “We wanted to see whether the AI could learn the rules of an environment just by looking at the screenplay of an agent moving through the game. And it did.”