Quality-Diversity Algorithms


A bare-bones quality diversity (QD) optimization library. QD algorithm is a powerful alternative compared to single-objective optimization because it is able to search for a diverse set of solutions according to user-defined metrics. In this library we provide implementations of recent QD algorithms such as MAP-Elites and Covariance Matrix Adaptation MAP-Elites (CMA-ME).