15 citations · 33 across the 12 of their papers we have counts for
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cs.LG2021★ 2 cited
On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems
Amal Feriani, Amine Mezghani, Ekram Hossain
We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output (MISO) system for downlink transmission. We compare the performance of Deep Reinforcement Lea…
cs.LG2021★ 3 cited
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty
Yuanchao Xu, Amal Feriani, Ekram Hossain
Multi-Agent Reinforcement Learning (MARL) is a challenging subarea of Reinforcement Learning due to the non-stationarity of the environments and the large dimensionality of the com…