It took 36,000 iterations for the networks to generate something playable. They also fed it information that described the level, including size, length of the perimeter and number of rooms. They generated a set of images from each level to show the AI the walkable area, walls, floor height, objects and room segmentation. The researchers used data from 1,000 officially created Doom levels and 9,000 levels created by the wider gaming community in order to teach the AI. Two neural networks - one known as the generator and one as the discriminator - were pitted against each other, with the first attempting to trick the second. Researchers at the Politecnico di Milano in Italy used a deep-learning technique known as a generative adversarial network (Gan). There are large numbers of Doom levels - both official and player-created - freely available online, providing a rich vein of data.ĭoom was released in 1993 and is considered to be a major milestone in video games history. The AI was "trained" to make new levels by showing it human-designed ones for the popular first-person shooter. The technique could be used to create future video games, more quickly and less expensively, BBC News reports, citing researchers. An artificial intelligence network has designed new levels for the original Doom video game.
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