Incorporating prior knowledge into Q-learning for drug delivery individualization

By Adam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, J. Zurada, Michael E. Brier. 2005

11 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Experimental and Cognitive Psychology, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

In Experimental and Cognitive Psychology

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

In Molecular Biology

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, background): “e even more stable anemia management than the existing AMP, an approach that incorporates a critical prior knowledge about the dose-response characteristic into the learning process has been proposed [138], [139], [140]. This is driven by the fact that, for all patients, the dose-response curve of H”