2022
DOI: 10.48550/arxiv.2205.10752
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Covariance Matrix Adaptation MAP-Annealing

Abstract: Single-objective optimization algorithms search for the single highest-quality solution with respect to an objective. In contrast, quality diversity (QD) optimization algorithms, such as Covariance Matrix Adaptation MAP-Elites (CMA-ME), search for a collection of solutions that are both high-quality with respect to an objective and diverse with respect to specified measure functions. We propose a new quality diversity algorithm, Covariance Matrix Adaptation MAP-Annealing (CMA-MAE), which bridges the gap betwee… Show more

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