An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Taylor W. Killian
Taylor W. Killian
Haoran Zhang
Haoran Zhang
Jayakumar Subramanian
Jayakumar Subramanian
Mehdi Fatemi
Mehdi Fatemi
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Abstract:

Reinforcement Learning (RL) has recently been applied to sequential estimation and prediction problems identifying and developing hypothetical treatment strategies for septic patients, with a particular focus on offline learning with observational data. In practice, successful RL relies on informative latent states derived from sequenti...More

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