![]() "There have been many AIs created in recent years that can play games - that are agents within the game - but this is the first GAN that can actually reproduce the game itself," Rev Lebaredian, VP of simulation technology at Nvidia, said to reporters. Nvidia says this is the first research to emulate a game engine using GAN-based neural networks. GameGAN was trained on 50,000 episodes of PAC-MAN, without having any concept of how the game mechanics work in the underlying code. By competing against each other, they jointly create content convincing enough to pass for the original. ![]() GANs are effectively two AI systems that are pitted against each other - one that tries to simulate original content, and one that spots its mistakes. That's effectively what Nvidia researchers have trained a unique AI model to do - recreate a fully-functional version of the PAC-MAN game simply by observing hours of gameplay, without a game engine.Ĭalled GameGAN, the neural network model mimics a computer game engine by harnessing generative adversarial networks (GANs). What is AI? Everything you need to know about Artificial IntelligenceĪ guide to artificial intelligence, from machine learning and general AI to neural networks.
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