Supreeth Prajwal Shashikumar
2019 Computing in Cardiology (CinC) · 2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
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Papers from Supreeth Prajwal Shashikumar's perspective
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- Reinforcement Learning: An Introduction
- I. INTRODUCTION
- The epidemiology of sepsis in the United States from 1979 through 2000. (New England Journal of Medicine)
- High versus low blood-pressure target in patients with septic shock. (New England Journal of Medicine)
- The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
- World Health
- From the Centers for Disease Control and Prevention
- The Timing of Early Antibiotics and Hospital Mortality in Sepsis (American Journal of Respiratory and Critical Care Medicine)
- Residual Algorithms: Reinforcement Learning with Function Approximation
- On-line Q-learning using connectionist systems