A Reinforcement Learning Framework for Dynamic Mediation Analysis

no code implementations • 31 Jan 2023 • Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song

However, there are a number of applications (e. g., mobile health) where the treatments are sequentially assigned over time and the dynamic mediation effects are of primary interest.

reinforcement-learning reinforcement Learning

Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework

no code implementations • 26 Feb 2022 • Runzhe Wan, Lin Ge, Rui Song

In this paper, we propose a unified meta-learning framework for a general class of structured bandit problems where the parameter space can be factorized to item-level.

Meta-Learning Thompson Sampling

Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae

no code implementations • 25 Feb 2022 • Lin Ge, Xinming An, Donglin Zeng, Samuel McLean, Ronald Kessler, Rui Song

Adverse posttraumatic neuropsychiatric sequelae (APNS) are common among veterans and millions of Americans after traumatic events and cause tremendous burdens for trauma survivors and society.

Heart Rate Variability Model Selection

Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models

no code implementations • NeurIPS 2021 • Runzhe Wan, Lin Ge, Rui Song

How to explore efficiently is a central problem in multi-armed bandits.

Multi-Armed Bandits Thompson Sampling