9 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 9 cited
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Ming Zhu, Xiao-Yang Liu, Sem Borst +1
Smart traffic lights in intelligent transportation systems (ITSs) are envisioned to greatly increase traffic efficiency and reduce congestion. Deep reinforcement learning (DRL) is…
q-fin.TR2021★ 4 cited
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Xiao-Yang Liu, Jingyang Rui, Jiechao Gao +5
Deep reinforcement learning (DRL) has shown huge potentials in building financial market simulators recently. However, due to the highly complex and dynamic nature of real-world ma…