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cs.LG2024
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…
cs.LG2023
Active Learning for Classifying 2D Grid-Based Level Completability
Mahsa Bazzaz, Seth Cooper
Determining the completability of levels generated by procedural generators such as machine learning models can be challenging, as it can involve the use of solver agents that ofte…