Multi-Agent Reinforcement Learning Based UAV Swarm Communications Against Jamming

Computer Science

• multi agent 100%
• Unmanned Aerial Vehicle 100%
• Reinforcement Learning 100%
• Energy Consumption 40%
• Power Allocation 40%
• Deep Learning 20%
• Experimental Result 20%
• Computational Complexity 20%
• Deep Reinforcement Learning 20%
• Network Topology 20%
• Neural Network 20%
• Transfer Learning 20%
• Learning Process 20%
• Learning Mechanism 20%
• Performance Gain 20%
• Performance Bound 20%
• Optimization Policy 20%
• Allocation Policy 20%
• Communication Scheme 20%
• Quantisation Error 20%

Engineering

• Unmanned Aerial Vehicle 100%
• Reinforcement Learning 100%
• Energy Engineering 40%
• Bit Error Rate 40%
• Channel State 40%
• Power Allocation 40%
• Experimental Result 20%
• Simulation Result 20%
• Determines 20%
• Computational Complexity 20%
• Deep Learning 20%
• Network Topology 20%
• Scheme Design 20%
• Learning Mechanism 20%
• Transfer Learning 20%
• Quantisation Error 20%
• Initial Learning 20%