154 citations · 231 across the 11 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.LG2017★ 5 cited
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-…
cs.LG2017★ 6 cited
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…
cs.LG2017★ 4 cited
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…