The below gameplay maxes out at roughly 128×128 pixel resolution, which runs at roughly 50 frames per second, below the series' 60fps standard. The available researchers also admitted that Nvidia's existing model suffers from fidelity issues.
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The quickest description is a series of three modules (memory, dynamics engine, and rendering engine) that run as neural networks.
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(After all, if simply watching hours of Pac-Man could teach me how to code video games by hand, I would have a very different career.) Eventually, they handed us a copy of the associated paper that explains how Nvidia's research team pulled it off. Marinez and the rest of Nvidia's available researchers did not clarify exactly what coding subroutine drove this AI's ability to write executable code of its own, nor whether it leaned on existing game engines. GameGAN: PAC-MAN Re-created with AI by NVIDIA "By watching this, it learned the rules." Those included specifics like: Pac-Man's speed, movement abilities, and inability to go through walls the four ghosts' movement patterns what happens when Pac-Man eats a power pellet and what happens when ghosts touch Pac-Man, super-charged or otherwise.
"Our AI didn't see any of code, just pixels coming out of the game engine," Nvidia representative Hector Marinez said to Ars Technica. Trained on this footage, the computers in question then turned around and created their own identical-looking clone. That gameplay, conveniently enough, was also played by a separate AI. Nvidia's latest experiment starts in similar fashion, as its AI research team trained a farm of four computers-each equipped with a Quadro GV100 workstation-grade GPU-on 50,000 hours of Pac-Man gameplay. (Sometimes the results go well for the computers, but not always.) After watching thousands of hours of a particular game and tracking the most successful moves and reactions in the course of a versus match, these AI routines can then control games, repeat and juggle thousands of strategies, and battle humans. If you've seen other farms of computers trained on existing games, this has usually come in the form of them learning how to play the game in question. More precisely, they've chosen one of the industry's biggest, most recognizable games, celebrating its 40th anniversary today: Pac-Man.
This week, Nvidia confirms that it has taken this theory quite seriously with its own twist: an army of AI routines, dubbed GameGAN (short for "generative adversarial networks"), trained to build a playable video game from scratch. You may be familiar with the Infinite Monkey Theorem, an oft-cited (and often incorrectly quoted) claim that thousands of monkeys could bang on thousands of typewriters and eventually produce a work of art equivalent to William Shakespeare.
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