Reinforcement Learning in Healthcare: A Survey

22 August 2019

Papers citing "Reinforcement Learning in Healthcare: A Survey"

42 / 92 papers shown

Title
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
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 2022
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients Thesath Nanayakkara OOD OffRL 18 0 0 17 Jul 2022
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation Jikai Zhang Maciej Mazurowski B. Allen B. Wildman-Tobriner 36 6 0 28 Jun 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 32 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 35 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 11 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 32 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 25 18 0 08 May 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 29 27 0 27 Apr 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 35 11 0 14 Apr 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions Nina Deliu Joseph Jay Williams B. Chakraborty OffRL 30 5 0 04 Mar 2022
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization Nikolaos Kourtzanidis Sajad Saeedi 31 2 0 26 Feb 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 31 132 0 23 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 36 9 0 23 Feb 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost Dan Qiao Ming Yin Ming Min Yu-Xiang Wang 34 28 0 13 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs Leonardo Lucio Custode Giovanni Iacca 27 13 0 10 Feb 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 53 169 0 10 Jan 2022
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks Anton Dereventsov R. Vatsavai Clayton Webster 25 5 0 24 Dec 2021
Optimal discharge of patients from intensive care via a data-driven policy learning framework F. Lejarza J. Calvert Misty M. Attwood D. Evans Q. Mao OffRL 26 4 0 17 Dec 2021
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification Hongyi Yuan Sheng Yu 24 15 0 01 Dec 2021
Variance Reduction based Experience Replay for Policy Optimization Hua Zheng Wei Xie M. Feng OffRL 39 2 0 17 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
Medical Dead-ends and Learning to Identify High-risk States and Treatments Mehdi Fatemi Taylor W. Killian J. Subramanian Marzyeh Ghassemi OffRL 30 37 0 08 Oct 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutière AAML 38 6 0 15 Sep 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 21 29 0 10 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 20 21 0 05 Aug 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation Jongmin Lee Wonseok Jeon Byung-Jun Lee J. Pineau Kee-Eung Kim OffRL 37 90 0 21 Jun 2021
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 42 15 0 09 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes Honghao Wei Xin Liu Lei Ying 21 21 0 03 Jun 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 42 103 0 09 Mar 2021
Machine Learning for Mechanical Ventilation Control Daniel Suo Naman Agarwal Wenhan Xia Xinyi Chen Udaya Ghai ... J. LaChance Tom Zadjel Manuel Schottdorf Daniel J. Cohen Elad Hazan OOD AI4CE 54 10 0 12 Feb 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach Amin Nikanjam Mohammad Mehdi Morovati Foutse Khomh Houssem Ben Braiek 27 30 0 01 Jan 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward S. Murphy Yanzhen Deng Eric B. Laber H. Maei R. Sutton K. Witkiewitz OffRL 33 22 0 18 Jul 2016
Q-learning with censored data Y. Goldberg Michael R. Kosorok OffRL 57 137 0 30 May 2012
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012