Deep Multiagent Reinforcement-Learning-Based Resource Allocation for Internet of Controllable Things

Computer Science

• Algorithms 100%
• Internet 100%
• Reinforcement Learning 100%
• multi-agent 100%
• Power Allocation 66%
• Channel State Information 66%
• High Reliability 33%
• Information Delay 33%
• Device-To-Device 33%
• Deep Reinforcement Learning 33%
• Markov Decision Process 33%
• Communication Latency 33%
• Joint Subcarrier 33%
• Allocation Strategy 33%
• Learning Agent 33%
• Successful Implementation 33%
• Operating Environment 33%
• Optimal Performance 33%

Engineering

• Multiagents 100%
• Subcarrier 100%
• Error 25%
• Simulation Result 25%
• Joints (Structural Components) 25%
• Optimal Policy 25%
• General Form 25%