Research on Digital Transmission Line Path Planning Based on Hierarchical Reinforcement Learning

With the development of smart grid, the path planning of digital transmission lines has become an important research direction. The path planning of transmission line is to determine the direction of transmission line reasonably according to the starting point and the end point of transmission line and various constraints along the way (such as terrain, environment, etc.). Hierarchical reinforcement learning is a new machine learning method, which divides the learning process into several levels, and each level can learn independently, thus improving the learning efficiency and effect. This paper will introduce the application of hierarchical reinforcement learning method in digital transmission line path planning.