Robotics & Machine Learning Daily News2024,Issue(MAY.14) :67-68.

New Robotics and Automation Findings from University of Texas Austin Described ( Leadership Inference for Multi-agent Interactions)

Robotics & Machine Learning Daily News2024,Issue(MAY.14) :67-68.

New Robotics and Automation Findings from University of Texas Austin Described ( Leadership Inference for Multi-agent Interactions)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Current study results on Robotics - Ro botics and Automation have been published. According to news reporting from Aust in, Texas, by NewsRx journalists, research stated, “Effectively predicting inten t and behavior requires inferring leadership in multi-agent interactions. Dynami c games provide an expressive theoretical framework for modeling these interacti ons.” Financial support for this research came from National Science Foundation (NSF).

Key words

Austin/Texas/United States/North and Central America/Robotics and Automation/Robotics/University of Texas Austin

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文