52 citations · 283 across the 28 of their papers we have counts for
7 papers · 1 filter
Controllable Exploration of a Design Space via Interactive Quality Diversity
Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis
This paper introduces a user-driven evolutionary algorithm based on Quality Diversity (QD) search. During a design session, the user iteratively selects among presented alternative…
RankNEAT: Outperforming Stochastic Gradient Search in Preference Learning Tasks
Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis +1
Stochastic gradient descent (SGD) is a premium optimization method for training neural networks, especially for learning objectively defined labels such as image objects and events…
Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem
Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis
A core challenge of evolutionary search is the need to balance between exploration of the search space and exploitation of highly fit regions. Quality-diversity search has explicit…
ARCH-Elites: Quality-Diversity for Urban Design
Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis +1
This paper introduces ARCH-Elites, a MAP-Elites implementation that can reconfigure large-scale urban layouts at real-world locations via a pre-trained surrogate model instead of c…
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…
Quality Diversity Through Surprise
Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis
Quality diversity is a recent family of evolutionary search algorithms which focus on finding several well-performing (quality) yet different (diversity) solutions with the aim to…