Research on Cultivating Craftsman Spirit of College Students in the New Era Based on Deep Reinforcement Learning Technology

Through the analysis of the development direction of college students' craftsman spirit network in the new era, the supervision and management of college students' craftsman spirit in the new era are carried out, and the research on cultivating college students' craftsman spirit in the new era based on deep reinforcement learning technology is put forward. The statistical sequence model of artisan spirit cultivation is constructed, the direction of artisan spirit cultivation is evaluated, descriptive statistical features are extracted, and the extracted correlation feature sets of big data of artisan spirit cultivation distribution of college students in the new era are classified and fused, and the optimization control of data clustering center is carried out to realize the cultivation of artisan spirit of college students in the new era. The empirical analysis results show that the model can effectively evaluate the direction and reliability of cultivating college students' artisan spirit in the new era, and the big data fusion performance is good. The social atmosphere of excellence is improved by cultivating college students' artisan spirit in the new era. Combined with the background of the times, according to the needs of social development and enterprise talents, the ingenious quality of loving one's job, integrating knowledge with practice and striving for excellence is cultivated, and the all-round development of students is constantly promoted.