13 citations · 28 across the 5 of their papers we have counts for
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cs.LG2021★ 12 cited
Efficient Pressure: Improving efficiency for signalized intersections
Qiang Wu, Liang Zhang, Jun Shen +3
Since conventional approaches could not adapt to dynamic traffic conditions, reinforcement learning (RL) has attracted more attention to help solve the traffic signal control (TSC)…
cs.AI2021★ 13 cited
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Liang Zhang, Qiang Wu, Jun Shen +3
Many studies confirmed that a proper traffic state representation is more important than complex algorithms for the classical traffic signal control (TSC) problem. In this paper, w…