93 citations · 111 across the 11 of their papers we have counts for
12 papers
Continuous Program Search
Matthew Siper, Muhammad Umair Nasir, Ahmed Khalifa +3
Genetic Programming yields interpretable programs, but small syntactic mutations can induce large, unpredictable behavioral shifts, degrading locality and sample efficiency. We fra…
On Creativity and Open-Endedness
L. B. Soros, Alyssa Adams, Stefano Kalonaris +2
Artificial Life (ALife) as an interdisciplinary field draws inspiration and influence from a variety of perspectives. Scientific progress crucially depends, then, on concerted effo…
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…
Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms
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. Quality-diversi…
Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation
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. Prior work has commonly leveraged the fe…
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna, Amy K Hoover, Julian Togelius +1
PINSKY is a system for open-ended learning through neuroevolution in game-based domains. It builds on the Paired Open-Ended Trailblazer (POET) system, which originally explored lea…
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
Kevin Frans, L. B. Soros, Olaf Witkowski
This work presents CLIPDraw, an algorithm that synthesizes novel drawings based on natural language input. CLIPDraw does not require any training; rather a pre-trained CLIP languag…
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search
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 con…
Exploring open-ended gameplay features with Micro RollerCoaster Tycoon
Michael Cerny Green, Victoria Yen, Sam Earle +3
This paper introduces MicroRCT, a novel open source simulator inspired by the theme park sandbox game RollerCoaster Tycoon. The goal in MicroRCT is to place rides and shops in an a…
Co-generation of game levels and game-playing agents
Aaron Dharna, Julian Togelius, L. B. Soros
Open-endedness, primarily studied in the context of artificial life, is the ability of systems to generate potentially unbounded ontologies of increasing novelty and complexity. En…
Say "Sul Sul!" to SimSim, A Sims-Inspired Platform for Sandbox Game AI
Megan Charity, Dipika Rajesh, Rachel Ombok +1
This paper proposes environment design in the life simulation game The Sims as a novel platform and challenge for testing divergent search algorithms. In this domain, which include…
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…