14 citations · 47 across the 17 of their papers we have counts for
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cs.NI2021★ 3 cited
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning
Hao Zhou, Medhat Elsayed, Melike Erol-Kantarci
5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number of novel services, ranging from remote health care to smart cities. However, heterogene…
eess.SY2021★ 12 cited
Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach
Hao Zhou, Melike Erol-Kantarci
Microgrids (MG) are anticipated to be important players in the future smart grid. For proper operation of MGs an Energy Management System (EMS) is essential. The EMS of an MG could…
eess.SY2021★ 14 cited
Correlated Deep Q-learning based Microgrid Energy Management
Hao Zhou, Melike Erol-Kantarci
Microgrid (MG) energy management is an important part of MG operation. Various entities are generally involved in the energy management of an MG, e.g., energy storage system (ESS),…