22 citations · 46 across the 14 of their papers we have counts for
16 papers
Game Level Blending using a Learned Level Representation
Venkata Sai Revanth Atmakuri, Seth Cooper, Matthew Guzdial
Game level blending via machine learning, the process of combining features of game levels to create unique and novel game levels using Procedural Content Generation via Machine Le…
Level Assembly as a Markov Decision Process
Colan F. Biemer, Seth Cooper
Many games feature a progression of levels that doesn't adapt to the player. This can be problematic because some players may get stuck if the progression is too difficult, while o…
tile2tile: Learning Game Filters for Platformer Style Transfer
Anurag Sarkar, Seth Cooper
We present tile2tile, an approach for style transfer between levels of tile-based platformer games. Our method involves training models that translate levels from a lower-resolutio…
Latent Combinational Game Design
Anurag Sarkar, Seth Cooper
We present latent combinational game design -- an approach for generating playable games that blend a given set of games in a desired combination using deep generative latent varia…
On Linking Level Segments
Colan Biemer, Seth Cooper
An increasingly common area of study in procedural content generation is the creation of level segments: short pieces that can be used to form larger levels. Previous work has used…
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…