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insight - 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.
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: A Comprehensive Study
Optimierung von Edge-Caching durch Deep Reinforcement Learning und Transfer Learning.
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