143 citations · 546 across the 35 of their papers we have counts for
5 papers · 1 filter
Evolutionary Machine Learning and Games
Julian Togelius, Ahmed Khalifa, Sam Earle +2
Evolutionary machine learning (EML) has been applied to games in multiple ways, and for multiple different purposes. Importantly, AI research in games is not only about playing gam…
A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System
M Charity, Yash Bhartia, Daniel Zhang +2
This paper introduces a system used to generate game feature suggestions based on a text prompt. Trained on the game descriptions of almost 60k games, it uses the word embeddings o…
Lode Enhancer: Level Co-creation Through Scaling
Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1
We explore AI-powered upscaling as a design assistance tool in the context of creating 2D game levels. Deep neural networks are used to upscale artificially downscaled patches of l…
Lode Encoder: AI-constrained co-creativity
Debosmita Bhaumik, Ahmed Khalifa, Julian Togelius
We present Lode Encoder, a gamified mixed-initiative level creation system for the classic platform-puzzle game Lode Runner. The system is built around several autoencoders which a…
Controllable Path of Destruction
Matthew Siper, Sam Earle, Zehua Jiang +2
Path of Destruction (PoD) is a self-supervised method for learning iterative generators. The core idea is to produce a training set by destroying a set of artifacts, and for each d…