Deep Reinforcement Learning for Sepsis Treatment

27 November 2017

Matthieu Komorowski

Papers citing "Deep Reinforcement Learning for Sepsis Treatment"

25 / 25 papers shown

Title
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data Rui Miao Babak Shahbaba Annie Qu OffRL 33 0 0 14 May 2025
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data Luoting Zhuang Stephen H. Park Steven J. Skates Ashley E. Prosper Denise R. Aberle William Hsu 119 0 0 11 Feb 2025
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 69 1 0 26 Jun 2024
ICU-Sepsis: A Benchmark MDP Built from Real Medical Data Kartik Choudhary Dhawal Gupta Philip S. Thomas OOD VLM 23 0 0 09 Jun 2024
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning Huy Hoang Tien Mai Pradeep Varakantham OffRL 47 2 0 20 Feb 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 41 1 0 09 Feb 2024
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 30 8 0 04 Sep 2023
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 38 5 0 04 Jul 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 35 9 0 06 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 31 6 0 01 Jun 2023
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare Ge Gao Song Ju Markel Sanz Ausin Min Chi OffRL 29 8 0 18 Feb 2023
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes Tennison Liu Alex J. Chan B. V. Breugel M. Schaar FaML 25 2 0 11 Nov 2022
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients Thesath Nanayakkara OOD OffRL 24 0 0 17 Jul 2022
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes Changchang Yin Ruoqi Liu Jeffrey Caterino Ping Zhang OffRL 42 5 0 19 May 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 35 11 0 14 Apr 2022
A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies Pramod S. Kaushik Sneha Kummetha Perusha Moodley R. Bapi OOD OffRL 9 7 0 25 Mar 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms N. Kuo Mark Polizzotto S. Finfer Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Louisa R Jorm S. Barbieri OOD 38 29 0 12 Mar 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions Nina Deliu Joseph Jay Williams B. Chakraborty OffRL 30 5 0 04 Mar 2022
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 20 21 0 05 Aug 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 Jul 2021
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation Chaochao Lu Erdun Gao Ke Wang José Miguel Hernández-Lobato Kun Zhang Bernhard Schölkopf CML OOD OffRL 29 57 0 16 Dec 2020
Reliable Off-policy Evaluation for Reinforcement Learning Jie Wang Rui Gao H. Zha OffRL 22 11 0 08 Nov 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies Shengpu Tang Aditya Modi Michael Sjoding Jenna Wiens OffRL 14 25 0 24 Jul 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning Nathan Kallus Angela Zhou OffRL 38 58 0 11 Feb 2020
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 39 73 0 26 Dec 2018