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Found 5 papers, 1 papers with code
A Reinforcement Learning Framework for Dynamic Mediation Analysis
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.
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
How to explore efficiently is a central problem in multi-armed bandits.
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
Adverse posttraumatic neuropsychiatric sequelae (APNS) are common among veterans and millions of Americans after traumatic exposures, resulting in substantial burdens for trauma survivors and society.
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
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.
Large Language Model for Causal Decision Making
Large Language Models (LLMs) have shown their success in language understanding and reasoning on general topics.
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