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Deep Offline Reinforcement Learning for Real-world Treatment
  Optimization Applications
v1v2 (latest)

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications

Knowledge Discovery and Data Mining (KDD), 2023
15 February 2023
Mila Nambiar
Supriyo Ghosh
P. Ong
Y. E. Chan
Y. Bee
Pavitra Krishnaswamy
    OffRL
ArXiv (abs)PDFHTMLGithub (128★)

Papers citing "Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications"

13 / 13 papers shown
Reinforcement Learning for Accelerator Beamline Control: a simulation-based approach
Reinforcement Learning for Accelerator Beamline Control: a simulation-based approach
Anwar Ibrahim
Alexey Petrenko
Maxim Kaledin
Ehab Suleiman
Fedor Ratnikov
D. Derkach
AI4CE
115
0
0
18 Oct 2025
MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation
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
164
0
0
11 Aug 2025
medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support
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
429
1
0
26 May 2025
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test OrdersACM Conference on Health, Inference, and Learning (CHIL), 2025
Zongliang Ji
Andre Carlos Kajdacsy-Balla Amaral
Anna Goldenberg
Rahul G. Krishnan
OffRL
253
0
0
24 Apr 2025
Evaluation-Time Policy Switching for Offline Reinforcement Learning
Evaluation-Time Policy Switching for Offline Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2025
Natinael Solomon Neggatu
Jeremie Houssineau
Giovanni Montana
OffRLOnRL
392
1
0
15 Mar 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced DatasetInternational Conference on Learning Representations (ICLR), 2025
Yiqin Yang
Quanwei Wang
Chenghao Li
Hao Hu
Chengjie Wu
...
Dianyu Zhong
Ziyou Zhang
Qianchuan Zhao
Chongjie Zhang
Xu Bo
OffRL
307
1
0
26 Feb 2025
Offline Inverse Constrained Reinforcement Learning for Safe-Critical
  Decision Making in Healthcare
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in HealthcareIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Nan Fang
Guiliang Liu
Wei Gong
OffRL
356
5
0
10 Oct 2024
Reinforcement Learning in Dynamic Treatment Regimes Needs Critical
  Reexamination
Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
Zhiyao Luo
Yangchen Pan
Peter Watkinson
Tingting Zhu
OffRL
281
4
0
28 May 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement
  Learning Agents
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents
Chen Gong
Kecen Li
Jin Yao
Tianhao Wang
OnRL
246
3
0
18 Apr 2024
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
Huy Hoang
Tien Mai
Pradeep Varakantham
OffRL
452
7
0
20 Feb 2024
End-to-end Offline Reinforcement Learning for Glycemia Control
End-to-end Offline Reinforcement Learning for Glycemia Control
Tristan Beolet
Alice Adenis
E. Huneker
Maxime Louis
OffRL
209
4
0
16 Oct 2023
Towards Optimization and Model Selection for Domain Generalization: A
  Mixup-guided Solution
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
Wang Lu
Yongfeng Zhang
Yidong Wang
Xingxu Xie
OOD
350
8
0
01 Sep 2022
Personalization for Web-based Services using Offline Reinforcement
  Learning
Personalization for Web-based Services using Offline Reinforcement LearningMachine-mediated learning (ML), 2021
P. Apostolopoulos
Zehui Wang
Hanson Wang
Chad Zhou
Kittipat Virochsiri
Norm Zhou
Igor L. Markov
OffRLOnRL
221
7
0
10 Feb 2021
1
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