Robotics & Machine Learning Daily News2024,Issue(Jun.18) :14-14.

Studies from University of Southern Queensland in the Area of Computational Inte lligence Reported (Graph-enabled Reinforcement Learning for Time Series Forecast ing With Adaptive Intelligence)

南昆士兰州大学在计算智能领域的研究报告(基于自适应智能的时间序列预测的图形强化学习)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :14-14.

Studies from University of Southern Queensland in the Area of Computational Inte lligence Reported (Graph-enabled Reinforcement Learning for Time Series Forecast ing With Adaptive Intelligence)

南昆士兰州大学在计算智能领域的研究报告(基于自适应智能的时间序列预测的图形强化学习)

扫码查看

摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-研究人员详细介绍了机器学习-计算智能的新数据。根据NewsRx记者在澳大利亚Toowoom Ba的新闻报道,研究表明:“强化学习(RL)以其对连续任务建模和自适应学习潜在数据模式的能力而闻名。深度学习模型在回归和分类任务中得到了广泛的解释和采用。”这项研究的财政支持来自澳大利亚研究委员会。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning - Computational Intelligence. According to news reporting from Toowoom ba, Australia, by NewsRx journalists, research stated, "Reinforcement learning ( RL) is renowned for its proficiency in modeling sequential tasks and adaptively learning latent data patterns. Deep learning models have been extensively explor ed and adopted in regression and classification tasks." Financial support for this research came from Australian Research Council.

Key words

Toowoomba/Australia/Australia and New Zealand/Computational Intelligence/Emerging Technologies/Machine Learning/Re inforcement Learning/University of Southern Queensland

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