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The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities, , , , , , , , , и 43 other автор(ы). (2018)cite arxiv:1803.03453.Policy Manifold Search for Improving Diversity-based Neuroevolution., , и . CoRR, (2020)Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities., , , , , , , , , и 13 other автор(ы). Frontiers Big Data, (2020)Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires., , , и . ICRA, стр. 5360-5366. IEEE, (2022)Behavioral repertoire learning in robotics., и . GECCO, стр. 175-182. ACM, (2013)Policy gradient assisted MAP-Elites., и . GECCO, стр. 866-875. ACM, (2021)Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution., , и . GECCO, стр. 901-909. ACM, (2021)AlphaStar: an evolutionary computation perspective., , и . GECCO (Companion), стр. 314-315. ACM, (2019)Enhancing MAP-Elites with Multiple Parallel Evolution Strategies., , и . GECCO, ACM, (2024)Fast and stable MAP-Elites in noisy domains using deep grids., и . ALIFE, стр. 273-282. MIT Press, (2020)