Meta-evolution discovers attention-based competition rules that yield quality-diversity algorithms competitive with or better than MAP-Elites and Dominated Novelty Search, including on unseen robot control tasks.
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Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
Meta-evolution discovers attention-based competition rules that yield quality-diversity algorithms competitive with or better than MAP-Elites and Dominated Novelty Search, including on unseen robot control tasks.