Search Results for author:
Found 2 papers, 0 papers with code
The surprising efficiency of temporal difference learning for rare event prediction
We quantify the efficiency of temporal difference (TD) learning over the direct, or Monte Carlo (MC), estimator for policy evaluation in reinforcement learning, with an emphasis on estimation of quantities related to rare events.
Improved Active Learning via Dependent Leverage Score Sampling
We show how to obtain improved active learning methods in the agnostic (adversarial noise) setting by combining marginal leverage score sampling with non-independent sampling strategies that promote spatial coverage.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
