Yao Zhang

most citedLearning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

hep-ex2024

Measurement of the Electromagnetic Transition Form-factors in the decays $η^{'} \to π^{+} π^{-} l^{+} l^{-}$

BESIII Collaboration, M. Ablikim, M. N. Achasov +628

With a sample of $(10087 \pm 44) \times 1 0^{6}$ $J / ψ$ events accumulated with the BESIII detector, we analyze the decays $η^{'} \to π^{+} π^{-} l^{+} l^{-} (l = e,$ $μ)$ via the process $J/ψ\righ…

cs.LG2023★ 1 cited

Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning

Yao Zhang, Zhiwen Yu, Jun Zhang +4

This paper considers optimal traffic signal control in smart cities, which has been taken as a complex networked system control problem. Given the interacting dynamics among traffi…

Measurement of the Electromagnetic Transition Form-factors in the decays η′→π+π−l+l−

Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning

Measurement of the Electromagnetic Transition Form-factors in the decays $η^{'} \to π^{+} π^{-} l^{+} l^{-}$