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аналитика - Edge Caching Optimization
Edge Caching Based on Deep Reinforcement Learning and Transfer Learning: A Comprehensive Study
Optimierung von Edge-Caching durch Deep Reinforcement Learning und Transfer Learning.
Edge Caching Based on Deep Reinforcement Learning and Transfer Learning: Addressing Redundant Data Transmission Challenges
Escalating challenges of redundant data transmission in networks are addressed through a novel approach combining Deep Reinforcement Learning and Transfer Learning for edge caching optimization.
Edge Caching Based on Deep Reinforcement Learning and Transfer Learning: Addressing Redundant Data Transmission Challenges
The authors propose a novel approach using Semi-Markov Decision Process and Double Deep Q-learning for efficient edge caching, considering file characteristics like lifetime, size, and importance. The Transfer Learning method shows promising results in adapting to changing request rates.
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