activity
20042025
most citedDeep Learning for Procedural Content Generation

143 citations · 1.3k across the 89 of their papers we have counts for

collaborators
Showing 2019 · cs.NEShow all

7 papers · 2 filters

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

A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization

Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong

A fast and efficient stochastic opposition-based learning (OBL) variant is proposed in this paper. OBL is a machine learning concept to accelerate the convergence of soft computing…

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

Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization

Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong

Among many evolutionary algorithms, differential evolution (DE) has received much attention over the last two decades. DE is a simple yet powerful evolutionary algorithm that has b…

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…

cs.NE2019

Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries

Matthew C. Fontaine, Scott Lee, L. B. Soros +3

Quality diversity (QD) algorithms such as MAP-Elites have emerged as a powerful alternative to traditional single-objective optimization methods. They were initially applied to evo…

cs.NE2019★ 124 cited

AlphaStar: An Evolutionary Computation Perspective

Kai Arulkumaran, Antoine Cully, Julian Togelius

In January 2019, DeepMind revealed AlphaStar to the world-the first artificial intelligence (AI) system to beat a professional player at the game of StarCraft II-representing a mil…