activity
20172026
most citedDeep Learning for Procedural Content Generation

143 citations · 546 across the 35 of their papers we have counts for

collaborators
Showing cs.NEShow all

6 papers · 1 filter

cs.NE2026

Programmable Cellular Automata

Ahmed Khalifa, Muhammad Umair Nasir, Matthew Siper +2

Cellular automata is a local computation paradigm where complex behavior can arise from local interactions between simple functions. This paradigm has been used to explain many sys…

cs.NE2023

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…

cs.NE2020

Multi-Objective level generator generation with Marahel

Ahmed Khalifa, Julian Togelius

This paper introduces a new system to design constructive level generators by searching the space of constructive level generators defined by Marahel language. We use NSGA-II, a mu…

cs.NE2019

Bootstrapping Conditional GANs for Video Game Level Generation

Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green +3

Generative Adversarial Networks (GANs) have shown im-pressive results for image generation. However, GANs facechallenges in generating contents with certain types of con-straints,…

cs.NE2019★ 125 cited

Procedural Content Generation through Quality Diversity

Daniele Gravina, Ahmed Khalifa, Antonios Liapis +2

Quality-diversity (QD) algorithms search for a set of good solutions which cover a space as defined by behavior metrics. This simultaneous focus on quality and diversity with expli…

cs.NE2019

ELIMINATION from Design to Analysis

Ahmed Khalifa, Dan Gopstein, Julian Togelius

Elimination is a word puzzle game for browsers and mobile devices, where all levels are generated by a constrained evolutionary algorithm with no human intervention. This paper des…