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2011.11235
Cited By
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
23 November 2020
Taylor W. Killian
Haoran Zhang
Jayakumar Subramanian
Mehdi Fatemi
Marzyeh Ghassemi
OffRL
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Papers citing
"An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare"
27 / 27 papers shown
MIMIC-Sepsis: A Curated Benchmark for Modeling and Learning from Sepsis Trajectories in the ICU
Yong Huang
Zhongqi Yang
Amir-Mohammad Rahmani
AI4TS
101
1
0
28 Oct 2025
Exploring a Graph-based Approach to Offline Reinforcement Learning for Sepsis Treatment
Taisiya Khakharova
Lucas Sakizloglou
Leen Lambers
OffRL
GNN
AI4CE
159
0
0
03 Sep 2025
Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI
Dilruk Perera
Gousia Habib
Qianyi Xu
Daniel J. Tan
Kai He
Erik Cambria
Mengling Feng
OffRL
AI4TS
326
0
0
28 Aug 2025
MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation
Yooseok Lim
ByoungJun Jeon
Seong-A Park
Jisoo Lee
Sae Won Choi
Chang Wook Jeong
Ho-Geol Ryu
Hongyeol Lee
Hyun-Lim Yang
OffRL
161
0
0
11 Aug 2025
Stable CDE Autoencoders with Acuity Regularization for Offline Reinforcement Learning in Sepsis Treatment
Yue Gao
OffRL
OOD
AI4TS
239
0
0
17 Jun 2025
medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support
Qianyi Xu
Gousia Habib
Dilruk Perera
Mengling Feng
Mengling Feng
OffRL
417
1
0
26 May 2025
Q-function Decomposition with Intervention Semantics with Factored Action Spaces
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Junkyu Lee
Tian Gao
Elliot Nelson
Miao Liu
D. Bhattacharjya
Songtao Lu
OffRL
271
0
0
30 Apr 2025
OCMDP: Observation-Constrained Markov Decision Process
Taiyi Wang
Jianheng Liu
Bryan Lee
Zhihao Wu
Yu Wu
616
3
0
11 Nov 2024
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment
A. Rahman
Pranav Agarwal
R. Noumeir
P. Jouvet
Vincent Michalski
Samira Ebrahimi Kahou
OffRL
312
4
0
28 Jul 2024
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
Unnseo Park
Venkatesh Sivaraman
Adam Perer
158
2
0
10 Apr 2024
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression
Shahriar Noroozizadeh
Jeremy C. Weiss
George H. Chen
269
9
0
10 Dec 2023
A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading
R. Amirzadeh
D. Thiruvady
A. Nazari
M. Ee
172
3
0
14 Oct 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
Neural Information Processing Systems (NeurIPS), 2023
Stratis Tsirtsis
Manuel Gomez Rodriguez
CML
OffRL
420
14
0
06 Jun 2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Neural Information Processing Systems (NeurIPS), 2023
Shengpu Tang
Maggie Makar
Michael Sjoding
Finale Doshi-Velez
Jenna Wiens
OffRL
269
52
0
02 May 2023
Enabling A Network AI Gym for Autonomous Cyber Agents
Li Li
Jean-Pierre S. El Rami
Adrian Taylor
James Hailing Rao
T. Kunz
OffRL
AI4CE
145
11
0
03 Apr 2023
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications
Knowledge Discovery and Data Mining (KDD), 2023
Mila Nambiar
Supriyo Ghosh
P. Ong
Y. E. Chan
Y. Bee
Pavitra Krishnaswamy
OffRL
241
32
0
15 Feb 2023
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
David Bruns-Smith
Angela Zhou
OffRL
696
14
0
01 Feb 2023
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning
Taylor W. Killian
S. Parbhoo
Marzyeh Ghassemi
OffRL
302
8
0
13 Jan 2023
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
IEEE Transactions on Automatic Control (TAC), 2023
Aditya Dave
N. Venkatesh
Andreas A. Malikopoulos
359
11
0
12 Jan 2023
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients
Thesath Nanayakkara
OOD
OffRL
347
0
0
17 Jul 2022
Deep Normed Embeddings for Patient Representation
Thesath Nanayakkara
G. Clermont
C. Langmead
D. Swigon
AI4TS
302
1
0
12 Apr 2022
Medical Dead-ends and Learning to Identify High-risk States and Treatments
Neural Information Processing Systems (NeurIPS), 2021
Mehdi Fatemi
Taylor W. Killian
J. Subramanian
Marzyeh Ghassemi
OffRL
274
48
0
08 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
244
87
0
16 Sep 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Machine Learning in Health Care (MLHC), 2021
Shengpu Tang
Jenna Wiens
OffRL
232
93
0
23 Jul 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
International Conference on Machine Learning (ICML), 2021
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
267
58
0
09 Jun 2021
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
PLOS Digital Health (PDH), 2021
Thesath Nanayakkara
G. Clermont
C. Langmead
D. Swigon
AI4CE
261
32
0
21 Jan 2021
A Primer on the Signature Method in Machine Learning
I. Chevyrev
Andrey Kormilitzin
777
260
0
11 Mar 2016
1
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