• Corpus ID: 64606523

Adaptive Interventions Treatment Modelling and Regimen Optimization Using Sequential Multiple Assignment Randomized Trials (Smart) and Q-Learning

@inproceedings{Baniya2018AdaptiveIT,
  title={Adaptive Interventions Treatment Modelling and Regimen Optimization Using Sequential Multiple Assignment Randomized Trials (Smart) and Q-Learning},
  author={Abiral Baniya},
  year={2018}
}
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Reinforcement Learning in Healthcare: A Survey

This survey provides an extensive overview of RL applications in a variety of healthcare domains, ranging from dynamic treatment regimes in chronic diseases and critical care, automated medical diagnosis, and many other control or scheduling problems that have infiltrated every aspect of the healthcare system.

Personalization of Health Interventions using Cluster-Based Reinforcement Learning

A cluster-based reinforcement learning approach which learns optimal policies for groups of users which can speed up the learning process while still giving a level of personalization is presented.

Reinforcement learning for personalization: A systematic literature review

This compressed contribution presents a survey into reinforcement learning (RL) for personalization and its applications in the rapidly changing environment.

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