Pyribs QD library
收藏arXiv2025-09-30 收录
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https://github.com/icaros-usc/dqd
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资源简介：
该数据集涵盖了在不同基准测试领域中进行质量多样性优化的算法实现，其中包括了MEGA和OG-MAP-Elites等多种质量多样性算法在不同领域运行的结果。该数据集的规模达到了445次试验，其任务是进行质量多样性优化。
This dataset encompasses algorithm implementations for quality diversity optimization across diverse benchmark domains, including the experimental results of multiple quality diversity algorithms such as MEGA and OG-MAP-Elites deployed across different domains. With a total of 445 trials, this dataset focuses on the task of quality diversity optimization.
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