Collaborative management of dynamic carrying capacity of tourist destinations based on multi-agent deep reinforcement learning and spatio-temporal graph neural networks

Key Points

• This research aims to improve the management of tourist destinations using innovative technologies.
• Utilized multi-agent deep reinforcement learning techniques
• Applied spatio-temporal graph neural networks for data analysis
• Developed dynamic models for tourist destination capacity management
• Identified effective management strategies for tourist destinations
• Demonstrated the capability of algorithms to enhance capacity management