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A core challenge of evolutionary search is the need to balance between exploration of the search space and exploitation of highly fit regions.
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A Survey of Monte Carlo Tree Search Methods
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Illuminating search spaces by mapping elites
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Talakat: Bullet Hell Generation through Constrained Map-Elites. In Proceedings of the Genetic and Evolutionary Computation Conference . 1047–1054
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Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm
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Autonomous Skill Discovery with Quality-diversity and Unsupervised Descriptors. In Proceedings of the Genetic and Evolutionary Computation Conference . 81–89
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Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries. In Proceedings of the Genetic and Evolutionary Computation Conference . 161–169
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Multimodal optimization by means of evolutionary algorithms
Mike Preuss. 2015 · 2015
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Quality Diversity: A New Frontier for Evolutionary Computation
Justin K Pugh, Lisa B Soros, and Kenneth O Stanley. 2016 · 2016
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Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination. In Proceedings of the Genetic and Evolutionary Computation Conference . 99–106
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Quality and Diversity Optimization: A Unifying Modular Framework
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Procedural Content Generation through Quality-Diversity. In Proceedings of the IEEE Conference on Games
Daniele Gravina, Ahmed Khalifa, Antonios Liapis, Julian Togelius, and Georgios N. Yannakakis. 2019a
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Blending Notions of Diversity for MAP-Elites. In Proceedings of the Genetic and Evolutionary Computation Conference
Daniele Gravina, Antonios Liapis, and Georgios N. Yannakakis. 2019b
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Evolving a Diversity of Virtual Creatures Through Novelty Search and Local Competition. In Proceedings of the Genetic and Evolutionary Computation Conference
Joel Lehman and Kenneth O. Stanley. 2011b
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MAP-Elites for Noisy Domains by Adaptive Sampling. In Proceedings of the Genetic and Evolutionary Computation Conference . 121–122
Niels Justesen, Sebastian Risi, and Jean-Baptiste Mouret. 2019 · 2019
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Fast and stable MAP-Elites in noisy domains using deep grids. In Proceedings of the Intl. Conference on Artificial Life . 273–282
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Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space. In Proceedings of the Genetic and Evolutionary Computation Conference . 94–102
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Discovering Representations for Black-box Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference
Adam Gaier, Alexander Asteroth, and Jean-Baptiste Mouret. 2020 · 2020
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First return, then explore
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, and Jeff Clune. 2021 · 2021
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