Robotics & Machine Learning Daily News2024,Issue(Jun.14) :16-17.

Researchers from Dalian Maritime University Report on Findings in Intelligent Systems (Dynamic Programming With Metareinforcement Learning: a Novel Approach for Multi-objective Optimization)

大连海事大学研究人员关于智能系统研究成果的报告(元强化学习动态规划:多目标优化的新方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :16-17.

Researchers from Dalian Maritime University Report on Findings in Intelligent Systems (Dynamic Programming With Metareinforcement Learning: a Novel Approach for Multi-objective Optimization)

大连海事大学研究人员关于智能系统研究成果的报告(元强化学习动态规划:多目标优化的新方法)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习-智能系统的最新研究结果已经发表。根据NewsRx记者在中国大连的新闻报道,Research State:“多目标优化(MOO)致力于从有限的可能性阵列中找出最优解。近年来,深度强化李宁(RL)通过其精心设计的启发式算法在解决NP困难组合优化(CO)问题方面显示出了希望。”这项研究的资助者包括中央大学的基础研究基金,中央大学的基础研究基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting origi nating in Dalian, People’s Republic of China, by NewsRx journalists, research st ated, “Multi-objective optimization (MOO) endeavors to identify optimal solution s from a finite array of possibilities. In recent years, deep reinforcement lear ning (RL) has exhibited promise through its well-crafted heuristics in tackling NP-hard combinatorial optimization (CO) problems.” Funders for this research include Fundamental Research Funds for the Central Uni versities, Fundamental Research Funds for the Central Universities.

Key words

Dalian/People’s Republic of China/Asia/Intelligent Systems/Dynamic Programming/Emerging Technologies/Machine Learning/Reinforcement Learning/Dalian Maritime University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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