Jian-Qiang Mu

Student Behavior Recognition and Intervention Methods in Intelligent Classrooms Based on Deep Reinforcement Learning

In response to the problem that traditional classroom student behavior analysis relies on manual observation and is difficult to achieve real-time, precise and personalized intervention. This paper constructs an end-to-end intelligent classroom intervention system based on deep reinforcement learning. This system adopt...