1 citations · 1 across the 4 of their papers we have counts for
4 papers
Guided Game Level Repair via Explainable AI
Mahsa Bazzaz, Seth Cooper
Procedurally generated levels created by machine learning models can be unsolvable without further editing. Various methods have been developed to automatically repair these levels…
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…
Mechanic Maker 2.0: Reinforcement Learning for Evaluating Generated Rules
Johor Jara Gonzalez, Seth Cooper, Matthew Guzdial
Automated game design (AGD), the study of automatically generating game rules, has a long history in technical games research. AGD approaches generally rely on approximations of hu…
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…