Multi-Agent Reinforcement Learning for Efficient Content Caching in Mobile D2D Networks

Computer Science

• Multi-Agent Reinforcement Learning 100%
• Computational Complexity 50%
• multi agent 50%
• Cache Hit Rate 50%
• Perfect Knowledge 50%
• Multimedia Traffic 50%
• Streaming Video 50%
• Confidence Bound 50%
• Device-To-Device 50%
• Learning System 50%
• Machine Learning 50%

Keyphrases

• D2D Networks 100%
• Multi-agent Reinforcement Learning 100%
• D2D Caching 100%
• Multi-agent multi-armed Bandit 33%
• Content Consumption 33%
• Multi-armed Bandit Problem 33%