2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.MA2025
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control
Hankang Gu, Shangbo Wang, Dongyao Jia +5
Adaptive Traffic Signal Control (ATSC) has become a popular research topic in intelligent transportation systems. Regional Traffic Signal Control (RTSC) using the Multi-agent Deep…
eess.SP2024★ 2 cited
Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization
Phu Lai, Wei Xiang, William Damario Lukito +4
Cell-free massive multiple-input multiple-output (CFmMIMO) coordinates a great number of distributed access points (APs) with central processing units (CPUs), effectively reducing…
cs.AI2023★ 1 cited
Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning
Hankang Gu, Shangbo Wang, Xiaoguang Ma +4
Multi-agent Deep Reinforcement Learning (MADRL) based traffic signal control becomes a popular research topic in recent years. To alleviate the scalability issue of completely cent…