Research on Learning Method Based on Hierarchical Decomposition

The most impressive aspect of human intelligence is skill acquisition-identifying important behavioral components, retaining them as skills, refining them through practice, and applying them in new tasks. In the field of artificial intelligence, the representation and learning of such hierarchical skills are significant open problems. In this paper, we introduce the important applications of hierarchical learning, and the related models and methods of hierarchical learning, as well as problems and solutions encountered in the process of hierarchical learning.