Figure 1: Conservative zero-shot RL methods suppress the values or measures on actions not in the dataset for all tasks. Black dots represent state-action samples present in the dataset. This work ...

For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...

Quantum computers still can’t do much. Almost every time researchers have found something the high-tech machines should one day excel at, a classical algorithm comes along that can do it just as well ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...

The recent murder of Brian Thompson, the former CEO of UnitedHealthcare—the largest health insurance company in the United States—has sparked widespread debate about the practices of insurance ...

In reperfusion treatment, advanced neuroimaging can be used for treatment selection or forecasting outcomes, however immediate access is not widely available. This study aims to explore the impact of ...

Abstract: This paper investigates a distributed method for solving the problems of regression and binary classification in the scope of the Zero-Gradient-Sum (ZGS) theory without local minimization.

Abstract: A new algorithm, expanded current synchronous detection (ECSD) theory, for three phase active power filters is proposed. It can detect symmetrically and equally active or fundamental ...