A Reinforcement Learning Design for HIV Clinical Trials

By Sonali Parbhoo. 2014

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. Guoqi Ren
4. Shamim Nemati
5. Yinzhao Dong
6. Ruosong Wang
7. Pierre Humbert

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, methodology): “Using the same mathematical model, Parbhoo [143] further implemented three kinds of BRL methods, FQI-ERT,”
• Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV (2019, methodology): “Using the same mathematical model, Parbhoo [10] further implemented three kinds of batch RL methods, FQI with extremely randomized trees, neural FQI and least square policy iterations (LSPI), to the problem of drug scheduling and HIV treatment design.”