摘要
阐述强化学习算法在智能制造中的实时决策与优化特点,探讨实际问题转化为强化学习框架,通过数学建模、实现强化学习的优化,为智能制造带来了新的决策范式,提高系统的灵活性和效率。
This paper expounds the real-time decision-making and optimization characteristics of reinforcement learning algorithms in intelligent manufacturing,explores the transformation of practical problems into reinforcement learning frameworks,and through mathematical modeling,realizes the optimization of reinforcement learning,bringing new decision-making paradigms to intelligent manufacturing,improving system flexibility and efficiency.
作者
张瑜
ZHANG Yu(Shanxi Jinzhong Institute of Technology,Shanxi 030600,China)
出处
《电子技术（上海）》
2023年第12期218-219,共2页
Electronic Technology
关键词
计算机技术
强化学习
智能制造
实时决策
computer technology
reinforcement learning
intelligent manufacturing
real-time decision-making
