Reinforcement Learning in Healthcare: A Survey

22 August 2019

Papers citing "Reinforcement Learning in Healthcare: A Survey"

21 / 71 papers shown

Title
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification Hongyi Yuan Sheng Yu 17 15 0 01 Dec 2021
Variance Reduction based Experience Replay for Policy Optimization Hua Zheng Wei Xie M. Feng OffRL 26 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 30 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 23 37 0 08 Oct 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutière AAML 25 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 16 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 M. Guizani OffRL AI4TS 15 21 0 05 Aug 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 15 77 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 20 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 13 90 0 21 Jun 2021
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 29 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 15 46 0 08 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 43 650 0 20 Mar 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 26 101 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 48 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 19 30 0 01 Jan 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 8 25 0 27 Nov 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 890 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 25 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 70 308 0 22 May 2012