IEEE

Dynamic Resource Allocation Method Based on Multi-Agent Deep Reinforcement Learning

Abstract: This paper presents a Dynamic Resource-Target Assignment (Dynamic RTA) method for multi-force joint operations in dynamic battlefield environments, based on Multi-Agent Deep Reinforcement ...
IEEE

Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks

Abstract: In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image transmission within space-air-ground ...
United States Army

Reinforcing the Foundation: The Importance of NCOs Learning the Staff Process

This article underscores the critical need to integrate Noncommissioned Officers (NCOs) into the Army’s staff operations process through training.
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...