Distributed Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet-of-Vehicles

Computer Science

• Approximation (Algorithm) 20%
• Caching Method 60%
• Computation Complexity 10%
• Content Delivery 10%
• Deep Q-Network 10%
• Edge Caching 100%
• Hit Rate 10%
• Internet of Vehicles 100%
• Markov Decision Process 10%
• Multi Agent System 10%
• Multi-Agent Deep Reinforcement Learning 100%
• Multi-Agent Reinforcement Learning 20%
• Nash Equilibrium 10%
• Neural Network 10%
• Parametric Model 10%
• Reinforcement Learning 20%
• Resource Utilisation 10%
• Table Lookup 10%