Reinforcement Learning in Healthcare: A Survey

22 August 2019

Papers citing "Reinforcement Learning in Healthcare: A Survey"

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Title
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian Sun Gang Wang AI4CE 57 1 0 08 May 2025
Active Sampling for MRI-based Sequential Decision Making Yuning Du Jingshuai Liu R. Dharmakumar Sotirios A. Tsaftaris 52 0 0 07 May 2025
Can Machine Learning Agents Deal with Hard Choices? Kangyu Wang 260 0 0 18 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 138 2 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 43 1 0 17 Jan 2025
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning Ali Baheri Zahra Sharooei Chirayu Salgarkar 189 0 0 17 Jan 2025
Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation Joo Seung Lee Malini Mahendra Anil Aswani OffRL 64 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 64 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 94 0 0 31 Dec 2024
Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application Lucky Li 67 0 0 08 Dec 2024
Symbolic State Partitioning for Reinforcement Learning Mohsen Ghaffari Mahsa Varshosaz E. Johnsen Andrzej Wasowski 15 1 0 25 Sep 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 69 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 70 0 0 01 Jul 2024
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 69 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 50 10 0 07 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 46 4 0 02 May 2024
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning Noah Golowich Ankur Moitra Dhruv Rohatgi OffRL 35 4 0 04 Apr 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 64 1 0 15 Mar 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models M. Pternea Prerna Singh Abir Chakraborty Y. Oruganti M. Milletarí Sayli Bapat Kebei Jiang OffRL 24 7 0 02 Feb 2024
Robust Active Measuring under Model Uncertainty Merlijn Krale T. D. Simão Jana Tumova Nils Jansen 22 0 0 18 Dec 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 37 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 24 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 21 0 0 19 Sep 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 24 18 0 12 Jul 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 40 7 0 10 Jul 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 26 1 0 07 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 30 9 0 06 Jun 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 31 4 0 21 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 55 7 0 24 Apr 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
Behavior Proximal Policy Optimization Zifeng Zhuang Kun Lei Jinxin Liu Donglin Wang Yilang Guo OffRL 30 34 0 22 Feb 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 21 1 0 21 Feb 2023
Robot path planning using deep reinforcement learning Miguel Quinones-Ramirez Jorge Ríos-Martínez Víctor Uc Cetina SSL 25 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 35 83 0 31 Jan 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 21 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 26 186 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 33 18 0 31 Dec 2022
NARS vs. Reinforcement learning: ONA vs. Q-Learning Ali Beikmohammadi 21 0 0 23 Dec 2022
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 39 16 0 22 Nov 2022
Offline Reinforcement Learning with Adaptive Behavior Regularization Yunfan Zhou Xijun Li Qingyu Qu OffRL 24 1 0 15 Nov 2022
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity Imon Banerjee Harsha Honnappa Vinayak A. Rao OffRL 11 0 0 14 Nov 2022
Design Process is a Reinforcement Learning Problem Reza kakooee Benjamin Dillunberger OffRL 33 0 0 06 Nov 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 28 27 0 24 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 26 6 0 19 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 34 42 0 04 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 74 45 0 16 Sep 2022
Artificial Intelligence for In Silico Clinical Trials: A Review Zifeng Wang Chufan Gao Lucas Glass Jimeng Sun 29 12 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 41 22 0 14 Sep 2022
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising Ruizhou Liu Qiang Ma Zhi-Qi Cheng Y. Lyu Jianji Wang S. Kevin Zhou 33 1 0 30 Aug 2022