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Found 3 papers, 2 papers with code
Debiased Machine Learning and Network Cohesion for Doubly-Robust Differential Reward Models in Contextual Bandits
In addition, these approaches did not explicitly model the baseline reward, which limited the ability to precisely estimate the parameters in the differential reward model.
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
Twin revolutions in wearable technologies and smartphone-delivered digital health interventions have significantly expanded the accessibility and uptake of mobile health (mHealth) interventions across various health science domains.
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
The micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points.
Methodology
