Semi-supervised learning of a POMDP model of Patient-Caregiver Interactions

  title={Semi-supervised learning of a POMDP model of Patient-Caregiver Interactions},
  author={Jesse Hoey and Pascal Poupart and Craig Boutilier and Alex Mihailidis},
This paper presents a decision theoretic model of interactions between assistive technology and users during activities of daily living. The model is a partially observable Markov decision process whose goal is to monitor a user, assist the user during each activity, maintain indicators of overall user health, and adapt to changes. The key idea behind the model is that it is relatively easy to specify, and can be applied to many activities of daily living with little modification. The key… CONTINUE READING


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