1 code implementation • 25 Oct 2022 • Roberto Gallotta, Kai Arulkumaran, L. B. Soros
In mixed-initiative co-creation tasks, wherein a human and a machine jointly create items, it is important to provide multiple relevant suggestions to the designer.
1 code implementation • 12 May 2022 • Roberto Gallotta, Kai Arulkumaran, L. B. Soros
When generating content for video games using procedural content generation (PCG), the goal is to create functional assets of high quality.
no code implementations • 3 Mar 2022 • Aaron Dharna, Amy K Hoover, Julian Togelius, L. B. Soros
Furthermore, we analyze the impact of the minimal criterion on generated level diversity and inter-species transfer.
2 code implementations • 28 Jun 2021 • Kevin Frans, L. B. Soros, Olaf Witkowski
This work presents CLIPDraw, an algorithm that synthesizes novel drawings based on natural language input.
no code implementations • 16 Jun 2021 • Kevin Frans, L. B. Soros, Olaf Witkowski
Inspired by natural evolution, evolutionary search algorithms have proven remarkably capable due to their dual abilities to radiantly explore through diverse populations and to converge to adaptive pressures.
no code implementations • 10 May 2021 • Michael Cerny Green, Victoria Yen, Sam Earle, Dipika Rajesh, Maria Edwards, L. B. Soros
This paper introduces MicroRCT, a novel open source simulator inspired by the theme park sandbox game RollerCoaster Tycoon.
no code implementations • 25 Aug 2020 • Megan Charity, Dipika Rajesh, Rachel Ombok, L. B. Soros
This paper proposes environment design in the life simulation game The Sims as a novel platform and challenge for testing divergent search algorithms.
1 code implementation • 16 Jul 2020 • Aaron Dharna, Julian Togelius, L. B. Soros
This paper introduces a POET-Inspired Neuroevolutionary System for KreativitY (PINSKY) in games, which co-generates levels for multiple video games and agents that play them.
1 code implementation • 24 Apr 2019 • Matthew C. Fontaine, Scott Lee, L. B. Soros, Fernando De Mesentier Silva, Julian Togelius, Amy K. Hoover
Quality diversity (QD) algorithms such as MAP-Elites have emerged as a powerful alternative to traditional single-objective optimization methods.