Zobrazeno 1 - 10
of 850
pro vyhledávání: '"Intelligent Decision Making"'
Autor:
Yuanshou Zhang
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 603-609 (2024)
With the development of “Internet plus” and the deep integration of information and network based technology and network technology, Industry 4.0 has become a hot topic. Industrial production is faced with a large number of tasks, complex and cha
Externí odkaz:
https://doaj.org/article/b2f6e7b7b58a41e3823e82c748d89d96
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 5, Pp 77-84 (2024)
Improving the training effect of multi-agent has always been the focus in the field of reinforcement learning. Based on the multi-Agent twin-delay deep deterministic policy gradient (MATD3) algorithm, a parameter sharing mechanism is introduced to im
Externí odkaz:
https://doaj.org/article/3b4ebd8cc70b448ebeffe99483b0b60d
Publikováno v:
ICT Express, Vol 10, Iss 4, Pp 935-958 (2024)
Digital twins (DTs) are an emerging digitalization technology with a huge impact on today’s innovations in both industry and research. DTs can significantly enhance our society and quality of life through the virtualization of a real-world physical
Externí odkaz:
https://doaj.org/article/22991260290b43dd819134912bdbb348
Autor:
Zhang, Yuanshou
Publikováno v:
In Alexandria Engineering Journal December 2024 109:603-609
Publikováno v:
In Information Sciences March 2025 693
Publikováno v:
Meitan xuebao, Vol 49, Iss 3, Pp 1259-1290 (2024)
With the accelerated evolution of digital technologies such as big data, cloud computing, and artificial intelligence, the trends of intelligence, informatization, and digitization have become imminent across various domains. Deep earth engineering,
Externí odkaz:
https://doaj.org/article/3674b3544cd84df49cad6a1b2ac22412
Autor:
LI Dong, XU Xiao, WU Lin
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 2, Pp 18-23 (2024)
To study the intelligent decision making methods under limited decision samples, aiming at the problems that operational decision-making experience is difficult to express and the training samples for intelligent decision learning are limited, based
Externí odkaz:
https://doaj.org/article/7b00f579689645de8be79c85f9a8fbbf
Publikováno v:
水下无人系统学报, Vol 32, Iss 1, Pp 79-86 (2024)
Based on the background of future modern maritime combats, a multi-agent deep reinforcement learning scheme was proposed to complete the cooperative round-up task in the swarm game confrontation of unmanned surface vehicles (USVs). First, based on di
Externí odkaz:
https://doaj.org/article/018c9e6c89c14515a342b69917ebb237
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 3-14 (2024)
This paper reviews the research status of intelligent ship berthing technology at home and abroad in recent years. The hotspots and applications of berthing technology are summarized in the three aspects of berthing mode, mathematical model and contr
Externí odkaz:
https://doaj.org/article/7542a86f13db48049d6e594d3e8e1b7d
Publikováno v:
中国工程科学, Vol 26, Iss 1, Pp 139-148 (2024)
Embodied intelligence stands as a strategic technology in the ongoing scientific and technological revolution, forming a frontier in global competition. The mobile manipulator robot system, with its exceptional mobility, planning, and execution capab
Externí odkaz:
https://doaj.org/article/a9f82a1285234dbb8dce530df4389eaa