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Pythonではじめるオープンエンドな進化的アルゴリズム ―発散型の機械学習による多様な解の探索
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Pythonではじめるオープンエンドな進化的アルゴリズム ―発散型の機械学習による多様な解の探索

by 岡 瑞起, 齊藤 拓己, 嶋田 健志
October 2023
Intermediate to advanced content levelIntermediate to advanced
296 pages
4h 26m
Japanese
O'Reilly Japan, Inc.
Content preview from Pythonではじめるオープンエンドな進化的アルゴリズム ―発散型の機械学習による多様な解の探索

参考文献

[1] M. Agaba et al., “Giraffe genome sequence reveals clues to its unique morphology and physiology,”Nature Communications, 7(11519), 2016.
[2] B. Baker et al., “Emergent Tool Use from Multi-Agent Interaction,” arXiv preprint arXiv:1909.07528, 2019.
[3] Bhatia et al., “Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots,” In Proceedings of NeurIPS, pp. 2201-2214, 2021.
[4] J. C. Brant and K. O. Stanley, “Diversity preservation in minimal criterion coevolution through resource limitation,” In Proceedings of GECCO '20, pp. 58-66, 2020.
[5] J. C. Brant and K. O. Stanley, “Minimal Criterion Coevolution: A New Approach to Open-Ended Search,” In Proceedings of GECCO '17, pp. 67-74, 2017.
[6] N. Cheney et al., “Unshackling ...
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Publisher Resources

ISBN: 9784814400003Publisher Website