279 citations · 559 across the 12 of their papers we have counts for
5 papers · 1 filter
Robust Contextual Bandit via the Capped- norm
Feiyun Zhu, Xinliang Zhu, Sheng Wang +2
This paper considers the actor-critic contextual bandit for the mobile health (mHealth) intervention. The state-of-the-art decision-making methods in mHealth generally assume that…
Group-driven Reinforcement Learning for Personalized mHealth Intervention
Feiyun Zhu, Jun Guo, Zheng Xu +2
Due to the popularity of smartphones and wearable devices nowadays, mobile health (mHealth) technologies are promising to bring positive and wide impacts on people's health. State-…
Hyperspectral Unmixing: Ground Truth Labeling, Datasets, Benchmark Performances and Survey
Feiyun Zhu
Hyperspectral unmixing (HU) is a very useful and increasingly popular preprocessing step for a wide range of hyperspectral applications. However, the HU research has been constrain…
Effective Warm Start for the Online Actor-Critic Reinforcement Learning based mHealth Intervention
Feiyun Zhu, Peng Liao
Online reinforcement learning (RL) is increasingly popular for the personalized mobile health (mHealth) intervention. It is able to personalize the type and dose of interventions a…
Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention
Feiyun Zhu, Peng Liao, Xinliang Zhu +2
In the wake of the vast population of smart device users worldwide, mobile health (mHealth) technologies are hopeful to generate positive and wide influence on people's health. The…