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使用深度强化学习的算法进行比较,以优化过度波形元材料的优化

Kenta Hamada1, Hui-Hsin Hsiao2, Wakana Kubo3

  • 1Division of Advanced Electrical and Electronics Engineering, Tokyo University of Agriculture and Technology, 2- 24-16 Naka-cho, Koganei-shi, Tokyo, 184-8588, Japan.

Scientific reports
|December 31, 2024
PubMed
概括

为光热电设备优化超级物质吸收器需要多个深度强化学习算法. 使用最好的算法将发电量提高了五倍,突出了对多种优化策略的需求.

关键词:
算法算法是一种算法.深度强化学习的学习.过度波动的元材料.超材料热电转换热电转换

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