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Peter Szolovits | Marzyeh Ghassemi | Imran Ahmed | Leo A. Celi | Matthieu Komorowski | Aniruddh Raghu | M. Ghassemi | L. Celi | Peter Szolovits | M. Komorowski | Aniruddh Raghu | Imran Ahmed
[1] C. Sprung,et al. Sepsis in European intensive care units: Results of the SOAP study* , 2006, Critical care medicine.
[2] P. Marik,et al. The demise of early goal‐directed therapy for severe sepsis and septic shock , 2015, Acta anaesthesiologica Scandinavica.
[3] Eduardo F. Morales,et al. An Introduction to Reinforcement Learning , 2011 .
[4] S. Opal,et al. Sepsis: a roadmap for future research. , 2015, The Lancet. Infectious diseases.
[5] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[6] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[7] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[8] Tom Schaul,et al. Prioritized Experience Replay , 2015, ICLR.
[9] M. Müllner,et al. Vasopressors for shock. , 2004, The Cochrane database of systematic reviews.
[10] R. Bellomo,et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). , 2016, JAMA.
[11] Tom Schaul,et al. Dueling Network Architectures for Deep Reinforcement Learning , 2015, ICML.
[12] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[13] Sangeeta Mehta,et al. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016 , 2017, Intensive Care Medicine.
[14] David Silver,et al. Deep Reinforcement Learning with Double Q-Learning , 2015, AAAI.
[15] Nan Jiang,et al. Doubly Robust Off-policy Evaluation for Reinforcement Learning , 2015, ArXiv.
[16] C. Sprung,et al. Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012 , 2013, Intensive Care Medicine.
[17] Nan Jiang,et al. Doubly Robust Off-policy Value Evaluation for Reinforcement Learning , 2015, ICML.