Over the past few decades, research teams worldwide have developed a wide variety of computational tools and technological solutions. Quality-diversity (QD) optimization algorithms are an approach that can generate large collections of diverse and highly performing solutions to computational problems rather than identifying a single high-quality solution, as a more conventional optimization algorithm would.
from News on Artificial Intelligence and Machine Learning https://ift.tt/30ylqJS
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Deep-Grid MAP-Elites: An algorithm to produce collections of diverse and high performing solutions in noisy domains
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