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2001.03224
Cited By

Identifying Distinct, Effective Treatments for Acute Hypotension with
SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning

Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning

9 January 2020

Joseph D. Futoma

Finale Doshi-Velez

ArXiv (abs)PDF HTML

Papers citing "Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning"

5 / 5 papers shown

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning

Venkata Sai Dheeraj Naganaboina

Tyler J. Loftus

...

Karandeep Singh

T. Ozrazgat-Baslanti

515

1

0

27 May 2025

ICU-Sepsis: A Benchmark MDP Built from Real Medical Data

ICU-Sepsis: A Benchmark MDP Built from Real Medical Data

Kartik Choudhary

Philip S. Thomas

177

7

0

09 Jun 2024

Model Selection for Offline Reinforcement Learning: Practical
Considerations for Healthcare Settings

Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsMachine Learning in Health Care (MLHC), 2021

214

93

0

23 Jul 2021

Trajectory Inspection: A Method for Iterative Clinician-Driven Design of
Reinforcement Learning Studies

Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies

Christina X. Ji

244

9

0

08 Oct 2020

Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

Deep Reinforcement Learning for Closed-Loop Blood Glucose ControlMachine Learning in Health Care (MLHC), 2020

184

70

0

18 Sep 2020

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