Impact analysis of reinforcement learning algorithm on the fitness habit formation among residents in artificial intelligence app

With the continuous progress of artificial intelligence technology, reinforcement learning algorithms have shown remarkable potential in promoting the formation of personal fitness habits. This paper studies the influence of reinforcement learning algorithm in artificial intelligence App on the formation of resident’s fitness habits. Through literature review and empirical data analysis, this study explores the application framework of reinforcement learning algorithm in fitness app, instant feedback mechanism, and how to evaluate the effect of the algorithm by tracking user behavior for a long time. The paper found that the algorithm, especially for young users, can significantly improve the frequency and duration of fitness, but for older users, its effect needs to be further optimized. The results provide a scientific basis for fitness app developers, help to design more effective user incentive mechanisms, and provide new strategies and tools for public health management.