Reinforcement Learning in Healthcare: A Survey

22 August 2019

Papers citing "Reinforcement Learning in Healthcare: A Survey"

50 / 71 papers shown

Title
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian-jun Sun Gang Wang AI4CE 52 1 0 08 May 2025
Active Sampling for MRI-based Sequential Decision Making Yuning Du Jingshuai Liu R. Dharmakumar Sotirios A. Tsaftaris 44 0 0 07 May 2025
Can Machine Learning Agents Deal with Hard Choices? Kangyu Wang 253 0 0 18 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 118 1 0 10 Mar 2025
FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring Mostafa Abbasi Maziyar Khadivi Maryam Ahang Patricia Lasserre Yves Lucet H. Najjaran OffRL 32 1 0 17 Jan 2025
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning Ali Baheri Zahra Sharooei Chirayu Salgarkar 140 0 0 17 Jan 2025
Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation Joo Seung Lee Malini Mahendra Anil Aswani OffRL 53 1 0 10 Jan 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots H. Zhang Xiaoman Pan Hongwei Wang Kaixin Ma W. Yu Dong Yu LLMAG 57 3 0 03 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 86 0 0 31 Dec 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 64 28 0 30 Aug 2024
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning Tao Ma Xuzhi Yang Zoltan Szabo OffRL 58 0 0 01 Jul 2024
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 61 1 0 26 Jun 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 42 10 0 07 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 38 4 0 02 May 2024
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning Noah Golowich Ankur Moitra Dhruv Rohatgi OffRL 30 4 0 04 Apr 2024
Robust Active Measuring under Model Uncertainty Merlijn Krale T. D. Simão Jana Tumova Nils Jansen 17 0 0 18 Dec 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 32 1 0 28 Nov 2023
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning Kaustuv Mukherji Devendra Parkar Lahari Pokala Dyuman Aditya Paulo Shakarian Clark Dorman 16 2 0 10 Oct 2023
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring T. Shaik Xiaohui Tao Lin Li Haoran Xie Usha R. Acharya R. Gururajan Xujuan Zhou OffRL AI4TS 11 0 0 19 Sep 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 35 5 0 10 Jul 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 21 1 0 07 Jun 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 24 4 0 21 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 53 7 0 24 Apr 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 11 1 0 21 Feb 2023
Robot path planning using deep reinforcement learning Miguel Quinones-Ramirez Jorge Ríos-Martínez Víctor Uc Cetina SSL 9 5 0 17 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 27 81 0 31 Jan 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 19 6 0 26 Jan 2023
AI enabled RPM for Mental Health Facility T. Shaik Xiaohui Tao Niall Higgins Haoran Xie R. Gururajan Xujuan Zhou AI4MH 11 8 0 20 Jan 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T. Shaik Xiaohui Tao Niall Higgins Lin Li R. Gururajan Xujuan Zhou U. Acharya 13 185 0 19 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 28 18 0 31 Dec 2022
NARS vs. Reinforcement learning: ONA vs. Q-Learning Ali Beikmohammadi 11 0 0 23 Dec 2022
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 29 16 0 22 Nov 2022
Offline Reinforcement Learning with Adaptive Behavior Regularization Yunfan Zhou Xijun Li Qingyu Qu OffRL 19 1 0 15 Nov 2022
Design Process is a Reinforcement Learning Problem Reza kakooee Benjamin Dillunberger OffRL 19 0 0 06 Nov 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 24 27 0 24 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 64 45 0 16 Sep 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 25 22 0 14 Sep 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 18 32 0 29 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 19 24 0 26 Jun 2022
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality Rex Chen Fei Fang Norman M. Sadeh 30 8 0 23 Jun 2022
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions Syed Hasib Akhter Faruqui A. Alaeddini Jing Wang S. Fisher-Hoch J. McCormick Julian Carvajal Rico 6 0 0 26 May 2022
Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation Alec M. Dunton Benjamin W. Priest Amanda Muyskens GP 17 3 0 22 May 2022
DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations Wei Chen Cheng Zhong J. Peng Zhongyu Wei MedIm 23 18 0 08 May 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 16 27 0 27 Apr 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 22 11 0 14 Apr 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 19 132 0 23 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost Dan Qiao Ming Yin Ming Min Yu-Xiang Wang 24 28 0 13 Feb 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 31 167 0 10 Jan 2022
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks Anton Dereventsov R. Vatsavai Clayton Webster 17 5 0 24 Dec 2021