168 citations · 563 across the 16 of their papers we have counts for
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3 papers · 1 filter
cs.LG2022★ 2 cited
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Jifeng Hu, Yanchao Sun, Hechang Chen +4
Multi-agent reinforcement learning has drawn increasing attention in practice, e.g., robotics and automatic driving, as it can explore optimal policies using samples generated by i…
hep-ph2022★ 8 cited
Discover the GellMann-Okubo formula with machine learning
Zhenyu Zhang, Rui Ma, Jifeng Hu +1
Machine learning is a novel and powerful technology and has been widely used in various science topics. We demonstrate a machine-learning based approach built by a set of general m…
hep-ph2022★ 9 cited
Study of exotic hadrons with machine learning
Jiahao Liu, Zhenyu Zhang, Jifeng Hu +1
We analyzed the invariant mass spectrum of near-threshold exotic states for one-channel candidates with a deep neural network. It can extract the scattering length and effective ra…