  Machine learning with neural networks is now becoming a more and more
powerful tool for various tasks, such as natural language processing, image
recognition, winning the game, and even for the issues of physics. Although
there are many studies on the application of machine learning to numerical
calculation and assistance of experiments, the methods of applying machine
learning to find the analytical method are poorly studied. In this paper, we
propose the frameworks of developing analytical methods in physics by using the
symbolic regression with the Alpha Zero algorithm, that is Alpha Zero for
physics (AZfP). As a demonstration, we show that AZfP can derive the
high-frequency expansion in the Floquet systems. AZfP may have the possibility
of developing a new theoretical framework in physics.
