13 citations · 28 across the 5 of their papers we have counts for
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cs.LG2022
Deep Reinforcement Learning with Vector Quantized Encoding
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
Human decision-making often involves combining similar states into categories and reasoning at the level of the categories rather than the actual states. Guided by this intuition,…
cs.LG2022★ 3 cited
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
Liang Zhang, Shubin Xie, Jianming Deng
Reinforcement learning (RL) techniques for traffic signal control (TSC) have gained increasing popularity in recent years. However, most existing RL-based TSC methods tend to focus…
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)…