BriefGPT.xyz
Nov, 2023
针对健康行为改变的自适应干预
Adaptive Interventions with User-Defined Goals for Health Behavior Change
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Aishwarya Mandyam, Matthew Joerke, Barbara E. Engelhardt, Emma Brunskill
TL;DR
通过改进的Thompson采样算法实现对个性化目标的优化和个性化奖励函数的最优化,从而在移动健康应用中达到降低累积遗憾和提高个性化回报的效果。
Abstract
physical inactivity
remains a major public health concern, having associations with adverse health outcomes such as cardiovascular disease and type-2 diabetes.
mobile health applications
present a promising avenu
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