Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Models

Mahsa Bazzaz, Seth Cooper

Generative Adversarial Networks (GANs) are unsupervised models designed to learn and replicate a target distribution. The vanilla versions of these models can be extended to more c…