Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning

Keyphrases

• Transfer Learning 100%
• Network Slicing 100%
• Federated Deep Reinforcement Learning 100%
• Deep Reinforcement Learning (deep RL) 75%
• Multi-agent Deep Reinforcement Learning (MADRL) 75%
• Learning Policy 50%
• Reinforcement Learning Approach 50%
• Knowledge Transfer 25%
• Reinforcement Learning Algorithm 25%
• Sampling Efficiency 25%
• New Task 25%
• Real-time Networks 25%
• Transfer Learning Model 25%
• Information Sharing 25%
• Inter-cell 25%
• Inter-cell Interference 25%
• Convergence Rate 25%
• Similarity Measure 25%
• Measurement Approach 25%
• New Domains 25%
• Resource Partitioning 25%
• System-level Simulator 25%
• Multi-slice 25%
• Speed Efficiency 25%
• Heterogeneous Cells 25%
• Domain Similarity 25%
• Policy Deployment 25%
• Source Management 25%
• Task Similarity 25%
• Analysis of Similarity (ANOSIM) 25%
• Local Agent 25%
• Transfer Approach 25%

Computer Science

• Transfer Learning 100%
• Deep Reinforcement Learning 100%
• Network Slicing 100%
• Multi-Agent Deep Reinforcement Learning 60%
• Learning Approach 40%
• intercell interference 20%
• Similarity Measurement 20%
• Measurement Approach 20%
• Convergence Speed 20%
• Knowledge Transfer 20%