Procedural Generation of Content using Machine Learning (PCGML)
Project code: 23
Presented by: Karan & Manabputra
Games often have a large number of levels or very large open spaces for players to solve or explore. Hand-crafting these areas is labour intensive. Several procedural algorithms are used to generate an endless number of these levels in some games, machine learning can be used in place of such custom made randomised generators. The goal is to create a large number of levels using Machine Learning from a training set of some handcrafted levels or level sections.
