May 10 reflection questions
Please respond to these questions by Wednesday noon at the latest. We expect short answers. There is no correct answer and we are not expecting you to spend a long time on this; the goal is to check that you've read the articles and to raise discussion points that we will go over in class.
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[Prasad et al] Why do the authors claim that their data suffer from interval censoring? *
Your answer
[Prasad et al] How do the authors define their reward function? Meaning: what aspects of the patient health lead to a reward/penalty? *
Your answer
[Shortreed et al] Why do the authors include variables that are not needed to inform policy in their state space representation? *
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[Shortreed et al] Why do the authors use bootstrap sampling in their first approach to quantifying the uncertainty in the learned optimal action? And why might double bootstrapping be necessary? *
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