An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

23 November 2020

Taylor W. Killian

Haoran Zhang

Jayakumar Subramanian

Papers citing "An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare"

34 / 34 papers shown

Title
OCMDP: Observation-Constrained Markov Decision Process Taiyi Wang Jianheng Liu Bryan Lee Zhihao Wu Yu Wu 47 1 0 11 Nov 2024
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data Matthew B. A. McDermott Bret A. Nestor Evan Kim Wancong Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi Csail AI4TS 42 16 0 20 Jul 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 54 459 0 18 May 2020
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients Mingyu Lu Zachary Shahn Daby M. Sow Finale Doshi-Velez Li-wei H. Lehman OOD OffRL 31 3 0 08 May 2020
Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation Luchen Li I. Albert-Smet Aldo A. Faisal OffRL 20 10 0 13 Mar 2020
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning Zina M. Ibrahim Honghan Wu Ahmed A. Hamoud Lukas Stappen Richard J. B. Dobson A. Agarossi 14 57 0 02 Dec 2019
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare Scott L. Fleming Kuhan Jeyapragasan Tony Duan D. Ding S. Gombar N. Shah Emma Brunskill OOD 19 3 0 16 Nov 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 27 182 0 03 Oct 2019
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 46 19 0 19 Sep 2019
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study Najibesadat Sadati Milad Zafar Nezhad R. Chinnam D. Zhu BDL OOD 29 16 0 24 Aug 2019
Deep Signature Transforms Patrick Kidger Patrick Kidger Imanol Perez Arribas C. Salvi Terry Lyons SLR 32 127 0 21 May 2019
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs Luchen Li Matthieu Komorowski Aldo A. Faisal OffRL 75 13 0 17 May 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat SSL OffRL 12 56 0 24 Jan 2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL C. Chang Mingjie Mai Anna Goldenberg OffRL 31 19 0 24 Jan 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 27 87 0 15 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 72 1,586 0 07 Dec 2018
Model-Based Reinforcement Learning for Sepsis Treatment Aniruddh Raghu Matthieu Komorowski Sumeetpal S. Singh OffRL LM&MA 11 53 0 23 Nov 2018
An Optimal Policy for Patient Laboratory Tests in Intensive Care Units Li-Fang Cheng Niranjani Prasad Barbara E. Engelhardt OffRL 19 29 0 14 Aug 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 124 4,998 0 19 Jun 2018
Why Is My Classifier Discriminatory? Irene Y. Chen Fredrik D. Johansson David Sontag FaML 30 395 0 30 May 2018
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making Luchen Li Matthieu Komorowski Aldo A. Faisal CML OffRL 8 19 0 29 May 2018
Decoupling Dynamics and Reward for Transfer Learning Amy Zhang Harsh Satija Joelle Pineau OOD 19 72 0 27 Apr 2018
Deep Reinforcement Learning for Sepsis Treatment Aniruddh Raghu Matthieu Komorowski Imran Ahmed Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 32 171 0 27 Nov 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 23 192 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 21 165 0 20 Apr 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 20 1,225 0 16 Nov 2016
Modeling Missing Data in Clinical Time Series with RNNs Zachary Chase Lipton David C. Kale R. Wetzel AI4TS 27 227 0 13 Jun 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 280 1,918 0 06 Jun 2016
A Primer on the Signature Method in Machine Learning I. Chevyrev Andrey Kormilitzin 27 215 0 11 Mar 2016
Multi-layer Representation Learning for Medical Concepts Edward Choi M. T. Bahadori Elizabeth Searles Catherine Coffey Jimeng Sun SSL AI4TS 24 503 0 17 Feb 2016
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 67 1,665 0 23 Jul 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 44 12,632 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 55 6,748 0 03 Sep 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 41 12,137 0 19 Dec 2013