Application of deep reinforcement learning in intelligent interaction design of virtual practice scenarios for labour education in colleges and universities

Key Points

• The research aims to explore the use of deep reinforcement learning to improve interaction design in educational virtual practice scenarios.
• Utilized deep reinforcement learning algorithms for interactive design
• Developed virtual practice scenarios for labour education
• Analyzed user engagement and learning outcomes
• Enhanced user interaction in virtual environments
• Improved educational effectiveness in labour training
• Increased student engagement and learning retention