22 citations · 46 across the 14 of their papers we have counts for
4 papers · 1 filter
A Reasoning Engine for the Gamification of Loop-Invariant Discovery
Andrew Walter, Seth Cooper, Panagiotis Manolios
We describe the design and implementation of a reasoning engine that facilitates the gamification of loop-invariant discovery. Our reasoning engine enables students, computational…
Procedural Content Generation using Behavior Trees (PCGBT)
Anurag Sarkar, Seth Cooper
Behavior trees (BTs) are a popular method for modeling NPC and enemy AI behavior and have been widely used in commercial games. In this work, rather than use BTs to model game play…
Dungeon and Platformer Level Blending and Generation using Conditional VAEs
Anurag Sarkar, Seth Cooper
Variational autoencoders (VAEs) have been used in prior works for generating and blending levels from different games. To add controllability to these models, conditional VAEs (CVA…
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder
Anurag Sarkar, Seth Cooper
Several works have demonstrated the use of variational autoencoders (VAEs) for generating levels in the style of existing games and blending levels across different games. Further,…