From the advancement in computers, computeraided design has emerged for mechanical and electronic engineering, architecture, and many other engineering fields. Foreseeing a similar development curve and technology wave, we forecast a new emerging discipline in the near future that uses learning-aided approaches to catalyze control development, alongside other similar applications such as medicine discovery. In this article, we propose a new paradigm for using machine learning to facilitate quicker, more efficient, and more effective control development, as an alternative way of leveraging the power of machine learning in addition to other options that intend to use learning directly in real-world applications.

中文翻译：

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解读人工智能和人类政策的运动技能：类人与人类平衡控制研究

随着计算机的发展，已经在机械和电子工程，建筑以及许多其他工程领域中出现了计算机辅助设计。预见到类似的发展曲线和技术浪潮，我们预测在不久的将来将出现一门新兴的学科，该学科将使用学习辅助方法来促进控制开发以及其他类似的应用程序，例如药物发现。在本文中，我们提出了一个新的范例，使用机器学习来促进更快，更有效，更有效的控制开发，这是除了希望直接在实际中使用学习的其他选择之外，一种利用机器学习功能的替代方法。世界的应用程序。