Is Deep Reinforcement Learning Ready for Practical Applications in
Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in
Sepsis Patients

Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients

8 May 2020

Zachary Shahn

Finale Doshi-Velez

Li-wei H. Lehman

Papers citing "Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients"

15 / 15 papers shown

Title
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies M. A. Masood Finale Doshi-Velez 24 51 0 31 May 2019
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning Xuefeng Peng Yi Ding David Wihl Omer Gottesman Matthieu Komorowski Li-wei H. Lehman A. Ross A. Faisal Finale Doshi-Velez OffRL 52 87 0 15 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 223 1,608 0 07 Dec 2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings Omer Gottesman Fredrik D. Johansson Joshua Meier Jack Dent Donghun Lee ... Matthieu Komorowski A. Faisal Leo Anthony Celi David Sontag Finale Doshi-Velez OOD OffRL 32 134 0 31 May 2018
Deep Reinforcement Learning for Sepsis Treatment Aniruddh Raghu Matthieu Komorowski Imran Ahmed Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 57 172 0 27 Nov 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,951 0 19 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,812 0 19 Aug 2017
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach Aniruddh Raghu Matthieu Komorowski Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 40 193 0 23 May 2017
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units Niranjani Prasad Li-Fang Cheng C. Chivers Michael Draugelis Barbara E. Engelhardt OffRL 54 167 0 20 Apr 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 308 1,934 0 06 Jun 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 214 3,787 0 18 Nov 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 581 12,702 0 11 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 237 6,775 0 03 Sep 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 125 12,227 0 19 Dec 2013