
Optimierung von Edge-Caching durch Deep Reinforcement Learning und Transfer Learning.


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edge-caching-based-on-deep-reinforcement-learning-and-transfer-learning-a-comprehensive-study


Edge Caching Based on Deep Reinforcement Learning and Transfer Learning: A Comprehensive Study


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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


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.
