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Quality Diversity (QD) algorithms such as MAP-Elites are a class of optimisation techniques that attempt to find a set of high-performing points from an objective function while enforcing behavioural diversity of the points over one or more interpretable, user chosen, feature functions.
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Pugh, J.K., Soros, L.B., Stanley, K.O.: Quality diversity: A new frontier for evolutionary computation. Frontiers in Robotics and AI 3
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Fontaine, M.C., Lee, S., Soros, L., De Mesentier Silva, F., Togelius, J., Hoover, A.K.: Mapping hearthstone deck spaces through map-elites with sliding boundaries. In: Proceedings of The Genetic and Evolutionary Computation Conference. pp. 161–169 (2019)
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