AI RESEARCH
QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks
arXiv CS.AI
•
ArXi:2604.25740v1 Announce Type: new With the rapid advancement of artificial intelligence (AI) and intelligent science, intelligent edge computing has been widely adopted. However, the limitations of traditional methods, such as poor adaptability and the slow convergence of heuristic algorithms, are becoming increasingly evident. To enable sustainable and resource-efficient edge applications, this paper proposes an online task offloading framework for wireless powered mobile edge computing (MEC) networks, called Quantum Attention-based Reinforcement learning for Online Offloading