Using Reinforcement Learning to Personalize Dosing Strategies in a Simulated Cancer Trial with High Dimensional Data

By Kyle Humphrey. 2017

12 citations recorded by the source corpus.

How researchers see this paper

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

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati
4. Guoqi Ren
5. Ruosong Wang
6. Pierre Humbert

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, background): “Humphrey [89] investigated several supervised learning approaches to estimate the Q values in a simulation of an advanced generic cancer trial.”