Search Results for author:
Found 2 papers, 0 papers with code
Unbiased Estimation of the Value of an Optimized Policy
However, although A/B testing provides an unbiased estimator for the value of deploying B (i. e., switching from policy A to B), direct application of those samples to learn the the optimized policy P generally does not provide an unbiased estimator of the value of P as the samples were observed when constructing P. In situations where the cost and risks associated of deploying a policy are high, such an unbiased estimator is highly desirable.
Counterfactual Reasoning and Learning Systems
This work shows how to leverage causal inference to understand the behavior of complex learning systems interacting with their environment and predict the consequences of changes to the system.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
