all AI news
Data-pooling Reinforcement Learning for Personalized Healthcare Intervention. (arXiv:2211.08998v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Motivated by the emerging needs of personalized preventative intervention in
many healthcare applications, we consider a multi-stage, dynamic
decision-making problem in the online setting with unknown model parameters. To
deal with the pervasive issue of small sample size in personalized planning, we
develop a novel data-pooling reinforcement learning (RL) algorithm based on a
general perturbed value iteration framework. Our algorithm adaptively pools
historical data, with three main innovations: (i) the weight of pooling ties
directly to the performance of decision …
arxiv data healthcare personalized pooling reinforcement reinforcement learning