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cs.LG2025
Level Generation with Constrained Expressive Range
Mahsa Bazzaz, Seth Cooper
Expressive range analysis is a visualization-based technique used to evaluate the performance of generative models, particularly in game level generation. It typically employs two…
cs.LG2025
Analysis of Robustness of a Large Game Corpus
Mahsa Bazzaz, Seth Cooper
Procedural content generation via machine learning (PCGML) in games involves using machine learning techniques to create game content such as maps and levels. 2D tile-based game le…
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…