The Health Gym: Synthetic Health-Related Datasets for the Development of
Reinforcement Learning Algorithms

The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms

12 March 2022

Mark Polizzotto

Federico Garcia

Anders Sönnerborg

Papers citing "The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms"

17 / 17 papers shown

Title
Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review Nazia Nafis Inaki Esnaola Alvaro Martinez-Perez Maria-Cruz Villa-Uriol Venet Osmani LMTD 47 0 0 10 Apr 2025
Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records N. Kuo B. Gallego Louisa R Jorm SyDa 69 0 0 08 Mar 2025
Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer Guanglin Zhou Sebastiano Barbieri 36 0 0 28 Feb 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models S. B. Rabbani Ibna Kowsar Manar D. Samad LMTD 46 1 0 12 Jan 2025
Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation N. Kuo B. Gallego Louisa R Jorm 23 1 0 22 Oct 2024
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning Rafael Rafailov Kyle Hatch Anikait Singh Laura Smith Aviral Kumar ... Victor Kolev Philip J. Ball Jiajun Wu Chelsea Finn Sergey Levine OffRL 29 3 0 15 Aug 2024
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare V. Vallevik Aleksandar Babic S. Marshall Severin Elvatun Helga Brogger S. Alagaratnam B. Edwin Narasimha Raghavan Anne Kjersti Befring J. F. Nygård 39 19 0 24 Jan 2024
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance SeungHwan An Sungchul Hong Jong-June Jeon 8 0 0 06 Dec 2023
Joint Distributional Learning via Cramer-Wold Distance SeungHwan An Jong-June Jeon 14 0 0 25 Oct 2023
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review Katariina Perkonoja Kari Auranen Joni Virta SyDa 14 3 0 21 Sep 2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models N. Kuo Louisa R Jorm S. Barbieri DiffM 26 12 0 22 Mar 2023
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking Maksims Kazijevs Manar D. Samad BDL AI4TS 25 32 0 10 Feb 2023
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data Raffaele Marchesi Nicolo Micheletti Giuseppe Jurman V. Osmani AI4TS 23 5 0 25 Oct 2022
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV N. Kuo Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Rolf Kaiser Mark Polizzotto Louisa R Jorm S. Barbieri GAN 20 27 0 18 Aug 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions Omer Gottesman Joseph D. Futoma Yao Liu Soanli Parbhoo L. A. Celi Emma Brunskill Finale Doshi-Velez OffRL 137 54 0 10 Feb 2020
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 145 568 0 19 Mar 2017