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Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm

, , and . (2016)cite arxiv:1610.05729.

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Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm, , and . (2016)cite arxiv:1610.05729.A comparison of illumination algorithms in unbounded spaces., , and . GECCO (Companion), page 1578-1581. ACM, (2017)Learning Skill-based Industrial Robot Tasks with User Priors., , , , and . CASE, page 1485-1492. IEEE, (2022)20 years of reality gap: a few thoughts about simulators in evolutionary robotics., and . GECCO (Companion), page 1121-1124. ACM, (2017)Micro-Data Reinforcement Learning for Adaptive Robots. (Apprentissage micro-data pour l'adaptation en robotique).. University of Lorraine, Nancy, France, (2018)Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm., , , and . LION, volume 12931 of Lecture Notes in Computer Science, page 66-79. Springer, (2021)Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics., and . ICRA, page 1-9. IEEE, (2018)Learning of Parameters in Behavior Trees for Movement Skills., , , , and . IROS, page 7572-7579. IEEE, (2021)From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues., , , and . ICDL-EPIROB, page 1-6. IEEE, (2020)Hierarchical quality-diversity for online damage recovery., , , and . GECCO, page 58-67. ACM, (2022)