Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios

Computer Science

• Decision-Making 100%
• multi agent 100%
• Deep Reinforcement Learning 100%
• Interactive Traffic 100%
• Reinforcement Learning 50%
• Graph Neural Network 50%
• Autonomous Vehicles 25%
• Dynamic Traffic 25%
• Learning Approach 25%
• Graph Representation 25%
• Source Codes 25%
• Traffic Environment 25%
• Open Source 25%
• Multiple Perspective 25%
• Efficient Operation 25%

Engineering

• Reinforcement Learning 100%
• Learning Approach 33%
• Source Coding 33%
• Intelligent Transportation 33%