HIGHLIGHTS
- who: LINHAN XI et al. from the Key Laboratory of Networking Switching Technology, Beijing University of Posts Telecommunications, Beijing, China have published the research work: Deep Reinforcement Learning-Based Service-Oriented Resource Allocation in Smart Grids, in the Journal: (JOURNAL)
- what: The authors investigate a joint communication computing caching resource allocation problem with distinct delay requirement of services in smart grids. Different control methods and constraints of power devices make the model more complex, and there are multiple entities with different objectives in smart grids, which endows the reward functions with more difficulties . The aim . . .
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