Level Generation for Computer Games

A system comprising:

• one or more processors;
• and
• a non-volatile computer readable storage medium comprising computer readable instructions that, when executed by the one or more processors, cause the system to perform a method comprising:
• extracting, from a known computer game level in a training dataset of known computer game levels for a computer game, a set of level features;
• processing, using an encoder neural network model, the known computer game level to generate an embedding of the known computer game level;
• processing, using a decoder neural network model, the embedding of the known game level and the set of level features to generate data indicative of a candidate computer game level for the computer game;
• determining a value of an objective function based on the data indicative of the candidate computer game level;
• and
• updating parameters of the encoder model and/or decoder model based at least in part on the value of the objective function.

A non-transitory computer-readable medium comprising computer readable instructions that, when executed by a system comprising one or more processors, cause the system to perform operations comprising:

• extracting, from a known computer game level in a training dataset of known computer game levels for a computer game, a set of level features;
• processing, using an encoder neural network model, the known computer game level to generate an embedding of the known computer game level;
• processing, using a decoder neural network model, the embedding of the known game level and the set of level features to generate data indicative of a candidate computer game level for the computer game;
• determining a value of an objective function based on the data indicative of the candidate computer game level;
• and
• updating parameters of the encoder model and/or decoder model based at least in part on the value of the objective function.