Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning with Diffusion Models

Computer Science

• Diffusion Model 100%
• Energy Consumption 100%
• Energy Efficiency 50%
• Energy Efficient 100%
• Experimental Result 50%
• Geographic Data 50%
• Multi-Agent Deep Reinforcement Learning 100%
• Navigation Policy 50%
• Points of Interest 50%
• Sufficient Data 50%

Engineering

• Air Space 100%
• Communication System 25%
• Diffusion Model 100%
• Energy Conservation 25%
• Energy Efficiency 25%
• Energy Ratio 25%
• Experimental Result 25%
• Ground Vehicle 100%
• Reinforcement Learning 100%
• Synthetic Aperture Radar 25%