Evaluation of factors affecting dance training effects based on reinforcement learning

The traditional dance training process lacks a certain degree of scientificity due to the lack of precise motion capture and analysis system, which directly affects the final training effect. In view of the robust limitations of the type 1 fuzzy reinforcement learning flexible structure control system to the uncertainty of noise interference, based on the reinforcement learning algorithm, this paper proposes a flexible structure controller based on the type 2 fuzzy reinforcement learning algorithm. Moreover, this paper uses fuzzy sets with equidistant fuzzy centers to divide large-scale state or continuous state space into two types of fuzzy divisions, divide the action space uniformly, and build fuzzy rules based on the basic ideas of type 1 fuzzy reinforcement learning. In addition, this paper constructs an evaluation system for factors affecting dance training effects based on reinforcement learning and designs experiments to verify the performance of the system. The research results show that the system constructed in this paper meets the theoretical needs and can be applied to dance training practice later.

Automated summary

This paper proposes a flexible structure controller based on type 2 fuzzy reinforcement learning algorithm, dividing state and action spaces and constructing fuzzy rules to improve the effectiveness of dance training.