Abstract: Gradient-based method has been extensively used in today's multiagent reinforcement learning (MARL). In a gradient-based MARL algorithm, each agent updates its parameterized strategy in the ...

Abstract: Quality and feature quantity of low- and high-resolution image pairs for training are directly related to performance of learning-based super-resolution methods. In order to accurately ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Pages Latest Report] According to a market research study published by Healthcare Foresights, the demand analysis of Global ...

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...

In this paper, we introduce GradEscape, the first gradient-based evader designed to attack AI-generated text (AIGT) detectors. GradEscape overcomes the undifferentiable computation problem, caused by ...

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

The no-contract video fleet tracking platform rolls out significant UX overhaul, adding a real-time Dashboard, Audit ...

Reading difficulties, like dyslexia, are common and often affect achievement and outcomes during school and later in life. A ...

Competing in the UK Government's 2026 Deepfake Detection Challenge, and why our journalism-first approach adds distinctive ...

Kochia is one of the most serious weed challenges facing growers across the Western Prairies, particularly in pulses, says ...