Estimating the Maximum Expected Value through Upper Confidence Bound of Likelihood

5 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics (2020, background): “DEramo et al. (2016) assumed the Gaussian distribution for the sample mean and proposed Weighted Estimator (WE) with a bias in between of that for ME and DE. Imagaw & Kaneko (2017) improved WE by using UCB for weights computation.”
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling (2018, background): “The problem of estimating µ ∗ = min a µ a was studied in [35] and subsequently [10, 32, 9].”
Stochastic Double Deep Q-Network (2019, methodology): “In order to eliminate overestimation, various methods have been proposed, such as the double estimator operation [28], the average estimator operation [29], [30] and the weighted estimator operation [31], [32].”