Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game

Computer Science

• Reinforcement Learning 100%
• Multi-Access Edge Computing 100%
• Edge Computing 100%
• Computing Resource 66%
• Centralized Control 66%
• task-scheduling 66%
• Nash Equilibrium 66%
• Quality of Service 33%
• Long Short-Term Memory Network 33%
• Differentiated Service 33%
• Resource Requirement 33%
• User Experience 33%
• Scheduling Method 33%
• Resource Allocation in Computing 33%
• Series Prediction 33%
• Experimental Result 33%
• Mobile Device 33%
• Polynomial Time 33%