Thornburg Global Opportunities Fund Q4 2025 Commentary

Thornburg Global Opportunities Fund’s I share return of +6.49% for Q4 2025 exceeded the +3.29% return of the MSCI All Country ...
Frontiers

Online bipartite matching methodology for anti-epidemic resources allocation: an adaptive time window based on reinforcement learning

Background: This study aimed to investigate the online matching problem for anti-epidemic resources among multiple suppliers and recipients in the Internet of Healthcare System during a major outbreak ...
Scientific Research Publishing

A Comparative Study of Community Service Work between China and the United States Based on Deep Learning ()

Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A Comparative Study of Community Service Work between China and the United ...
IEEE

Auto-Sec: Meta-Learning for Automated Efficient Security Resource Allocation on Attack Graphs

Abstract: Cybersecurity threats rapidly affect interdependent systems, making effective defense strategies critical. While several resource allocation frameworks have been proposed, selecting the ...
IEEE

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs

Abstract: Game-theoretic resource allocation on graphs (GRAG) involves two players competing over multiple steps to control nodes of interest on a graph, a problem modeled as a multi-step Colonel ...