Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ju-Bong Kim"'
Publikováno v:
IEEE Access, Vol 10, Pp 100478-100488 (2022)
Automated guided vehicles (AGVs) are essential components for the automation of fulfillment centers, a type of warehouse, where goods are stored on shelves and carried by AGVs. To increase the productivity in inventory management, a well-organized co
Externí odkaz:
https://doaj.org/article/e9733bb296c34e5ab746ce670e1c6add
Publikováno v:
IEEE Access, Vol 9, Pp 76296-76306 (2021)
Nowadays, Reinforcement Learning (RL) is applied to various real-world tasks and attracts much attention in the fields of games, robotics, and autonomous driving. It is very challenging and devices overwhelming to directly apply RL to real-world envi
Externí odkaz:
https://doaj.org/article/3e3e65d660e74c579a47b25a96f83dc6
Publikováno v:
IEEE Access, Vol 7, Pp 36682-36690 (2019)
Rotary inverted pendulum is an unstable and highly nonlinear device and has been used as a common application model in nonlinear control engineering field. In this paper, we use a rotary inverted pendulum as a deep reinforcement learning environment.
Externí odkaz:
https://doaj.org/article/c22a8a6a5cae4332967859cd6df60380
Publikováno v:
Sensors, Vol 22, Iss 8, p 3022 (2022)
The objective of smart cities is to improve the quality of life for citizens by using Information and Communication Technology (ICT). The smart IoT environment consists of multiple sensor devices that continuously produce a large amount of data. In t
Externí odkaz:
https://doaj.org/article/e43ae1cd478846c29cc1ed1199c69a33
Publikováno v:
Sensors, Vol 20, Iss 12, p 3401 (2020)
Intralogistics is a technology that optimizes, integrates, automates, and manages the logistics flow of goods within a logistics transportation and sortation center. As the demand for parcel transportation increases, many sortation systems have been
Externí odkaz:
https://doaj.org/article/aaaaf8196b80484ebcd2bb36a22dbf36
Publikováno v:
Sensors, Vol 20, Iss 5, p 1359 (2020)
Reinforcement learning has recently been studied in various fields and also used to optimally control IoT devices supporting the expansion of Internet connection beyond the usual standard devices. In this paper, we try to allow multiple reinforcement
Externí odkaz:
https://doaj.org/article/93f794fa784a40788cec68f405dd1266
Publikováno v:
Applied Sciences, Vol 9, Iss 12, p 2550 (2019)
Recently, with the advent of various Internet of Things (IoT) applications, a massive amount of network traffic is being generated. A network operator must provide different quality of service, according to the service provided by each application. T
Externí odkaz:
https://doaj.org/article/8d4c45f66dd74fec86f94bdf05120383
Publikováno v:
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Publikováno v:
IEEE Access, Vol 9, Pp 76296-76306 (2021)
Nowadays, Reinforcement Learning (RL) is applied to various real-world tasks and attracts much attention in the fields of games, robotics, and autonomous driving. It is very challenging and devices overwhelming to directly apply RL to real-world envi
Autor:
Ho-Bin Choi, Ju-Bong Kim, Chang-Hoon Ji, Ullah Ihsan, Youn-Hee Han, Se-Won Oh, Kwi-Hoon Kim, Cheol-Sig Pyo
Publikováno v:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).