![new doom 2 new doom 2](https://cdn.gamer-network.net/2020/usgamer/sigil-romero-doom.jpg)
The team then processed each level to generate a set of images that represent its most important features, such as the walkable area, walls, floor height, objects, and so on. They begin with 1,000 Doom levels taken from a repository of publicly available games, which includes all the official levels from Doom and Doom 2 as well as more than 9,000 levels created by the gaming community. The team’s approach is relatively straightforward. These guys say it is indeed possible to create compelling Doom levels in this automated way, and that the technique has significant potential to change the way game content is created. Today we get an answer thanks to the work of Edoardo Giacomello and colleagues at the Politecnico di Milano in Italy. Is it possible to use this data to train a deep-learning algorithm to create its own levels of Doom that a human would find compelling? Indeed, large numbers of Doom levels-both official and player-created-are now freely available online, forming a formidable corpus for study and research.Īnd that raises an interesting possibility. The game is notable because it pioneered 3-D graphics for PCs running MS-DOS, introduced networked multiplay, and even allowed players to create their own game levels. The game is a first-person shooter in which a space marine battles to survive against various demons and zombies. One of the longest-lasting and most successful video-game franchises is the Doom series, launched in 1993 and still going strong with over 10 million copies sold.