Quality diversity: A new frontier for evolutionary computation

JK Pugh, LB Soros, KO Stanley - Frontiers in Robotics and AI, 2016 - frontiersin.org
While evolutionary computation and evolutionary robotics take inspiration from nature, they
have long focused mainly on problems of performance optimization. Yet, evolution in nature …

Illuminating search spaces by map** elites

JB Mouret, J Clune - ar** analysis dataset for diversity and reproducibility in robotic manipulation
D Morrison, P Corke, J Leitner - IEEE Robotics and Automation …, 2020 - ieeexplore.ieee.org
We present the Evolved Gras** Analysis Dataset (EGAD), comprising over 2000
generated objects aimed at training and evaluating robotic visual grasp detection …

Evolution of repertoire-based control for robots with complex locomotor systems

M Duarte, J Gomes, SM Oliveira… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The evolution of task-oriented control for robots with complex locomotor systems is currently
out of reach for traditional evolutionary computation techniques, as the coordination of a …

Novelty search for global optimization

I Fister, A Iglesias, A Galvez, J Del Ser, E Osaba… - Applied Mathematics …, 2019 - Elsevier
Novelty search is a tool in evolutionary and swarm robotics for maintaining the diversity of
population needed for continuous robotic operation. It enables nature-inspired algorithms to …

LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking

M Wong, J Liu, T Rios, S Menzel, YS Ong - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid research and development of generative artificial intelligence has enabled the
generation of high-quality images, text, and 3D models from text prompts. This advancement …

Novelty search: a theoretical perspective

S Doncieux, A Laflaquière, A Coninx - Proceedings of the Genetic and …, 2019 - dl.acm.org
Novelty Search is an exploration algorithm driven by the novelty of a behavior. The same
individual evaluated at different generations has different fitness values. The corresponding …

Procedural content generation using neuroevolution and novelty search for diverse video game levels

M Beukman, CW Cleghorn, S James - Proceedings of the Genetic and …, 2022 - dl.acm.org
Procedurally generated video game content has the potential to drastically reduce the
content creation budget of game developers and large studios. However, adoption is …

Efficient novelty search through deep reinforcement learning

L Shi, S Li, Q Zheng, M Yao, G Pan - IEEE Access, 2020 - ieeexplore.ieee.org
Novelty search, which was inspired by the nature that evolves creatures with diversity, has
shown great potential in solving reinforcement learning (RL) tasks with sparse and …

Few-shot quality-diversity optimization

A Salehi, A Coninx, S Doncieux - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
In the past few years, a considerable amount of research has been dedicated to the
exploitation of previous learning experiences and the design of Few-shot and Meta Learning …