RESEARCH PROGRESS ABOUT DEEP REINFORCEMENT LEARNING, 210-217. SI

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS

Mechatronic Systems and Control Pub Date : 2023-01-01 DOI:10.2316/j.2023.201-0371

Liu Liu, Lin-hui Chen

引用次数: 0

Abstract

DRL is a kind of decision theory, which is based on probabilitytheory, combines machine learning with Turing machine and otherpowerful tools, and establishes a technology that uses strongattraction algorithm, deep neural network, statistical machinelearning, etc.

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深度强化学习的研究进展，210-217。如果

DRL是一种决策理论，它以概率论为基础，将机器学习与图灵机等强大工具相结合，建立了一种运用强吸引算法、深度神经网络、统计机器学习等技术的决策理论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.40

自引率

66.70%

发文量

期刊介绍： This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.