Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation

4 July 2018

Wei Zhang

Papers citing "Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation"

30 / 30 papers shown

Title
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer Minh Hoang Nguyen Linh Le Pham Van Thommen George Karimpanal Sunil Gupta Hung Le OffRL LRM 37 0 0 14 May 2025
Natural Language-Assisted Multi-modal Medication Recommendation Jie Tan Yu Rong Kangfei Zhao Tian Bian Tingyang Xu Junzhou Huang Hong Cheng Helen Meng 53 1 0 13 Jan 2025
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 76 4 0 04 Apr 2024
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 34 73 0 01 Oct 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 26 8 0 04 Sep 2023
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 38 5 0 04 Jul 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process Fanghua Ye Zhiyuan Hu Emine Yilmaz 21 6 0 21 May 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 42 29 0 16 May 2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning Carolin Schmidt Daniele Gammelli Francisco Câmara Pereira Filipe Rodrigues OffRL 14 4 0 28 Feb 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
NARS vs. Reinforcement learning: ONA vs. Q-Learning Ali Beikmohammadi 16 0 0 23 Dec 2022
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning D. Elbaz Gal Novik Oren Salzman OffRL 25 0 0 06 Nov 2022
Differentially Private Estimation of Hawkes Process Simiao Zuo Tianyi Liu Tuo Zhao H. Zha 23 1 0 15 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
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems Qihua Zhang Junning Liu Yuzhuo Dai Yiyan Qi Yifan Yuan Kunlun Zheng Fan Huang Xianfeng Tan OffRL 19 50 0 09 Aug 2022
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes Changchang Yin Ruoqi Liu Jeffrey Caterino Ping Zhang OffRL 32 5 0 19 May 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 32 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
Conditional Generation Net for Medication Recommendation Rui Wu Zhaopeng Qiu Jiacheng Jiang Guilin Qi Xian Wu 22 85 0 14 Feb 2022
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation Dylan J. Foster A. Krishnamurthy D. Simchi-Levi Yunzong Xu OffRL 16 62 0 21 Nov 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 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
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 94 0 01 Jul 2021
Change Matters: Medication Change Prediction with Recurrent Residual Networks Chaoqi Yang Cao Xiao Lucas Glass Jimeng Sun BDL 24 67 0 05 May 2021
Instabilities of Offline RL with Pre-Trained Neural Representation Ruosong Wang Yifan Wu Ruslan Salakhutdinov Sham Kakade OffRL 20 42 0 08 Mar 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
Reliable Off-policy Evaluation for Reinforcement Learning Jie Wang Rui Gao H. Zha OffRL 22 11 0 08 Nov 2020
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 8 286 0 21 Feb 2020
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks Deyin Liu Lin Wu Xue Li 37 17 0 14 Nov 2019
Capturing Financial markets to apply Deep Reinforcement Learning Souradeep Chakraborty AIFin AI4TS 11 17 0 09 Jul 2019