Applying multi-agent deep reinforcement learning for contention window optimization to enhance wireless network performance

Autor: Chih-Heng Ke, Lia Astuti

Publikováno v: ICT Express, Vol 9, Iss 5, Pp 776-782 (2023)

This paper investigates the Contention Window (CW) optimization problem in multi-agent scenarios, where the fully cooperative among mobile stations is considered. A partially observable environment is employed to model and analyze the CW optimization

Externí odkaz: https://doaj.org/article/5211e7c816a14432964f2eac74fc13ce

The Development of Web-Based Learning using Interactive Media for Science Learning on Levers in Human Body Topic

Autor: Lia Astuti, Yaya Wihardi, Diana Rochintaniawati

Publikováno v: Journal of Science Learning, Vol 3, Iss 2, Pp 89-98 (2020)

Integrated curriculum is a popular way to develop 21st-century skills, but most of the materials are written on the books separately. Furthermore, web-based learning is an online learning media that can be accessed using an internet connection anytim

Externí odkaz: https://doaj.org/article/747ed75635b8436b924d29f9bcda0e35

The Development of Web-Based Learning using Interactive Media for Science Learning on Levers in Human Body Topic

Autor: Yaya Wihardi, Diana Rochintaniawati, Lia Astuti

Publikováno v: Journal of Science Learning, Vol 3, Iss 2, Pp 89-98 (2020)
Journal of Science Learning; Vol 3, No 2 (2020): Journal of Science Learning; 89-98

Integrated curriculum is a popular way to develop 21st century skills, but most of the materials is written on the books separately. In the other hand, web-based learning technology is an online learning media that can be accessed anytime and anywher

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a33cccff7c427568958fde17e56656
https://ejournal.upi.edu/index.php/jslearning/article/view/19366