Ditemukan 24 dokumen yang sesuai dengan query
Filipus Heryanto, author
ABSTRAK
Dalam perdagangan sekuritas, terdapat masalah keputusan dalam pengelolaan portofolio. Keputusan ini dapat ditentukan dengan reinforcement learning. Reinforcement learning bertujuan untuk mengoptimalkan cumulative reward (keuntungan kumulatif), dengan policy (kebijakan) yang memilih tindakan tertentu yang memberikan keuntungan yang lebih baik. Cumulative reward menggunakan discount rate yang mempengaruhi pertimbangan reward di masa depan....
Universitas Indonesia, 2019
S-Pdf
UI - Skripsi (Membership) Universitas Indonesia Library
Xiao, Liang, author
This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as security, and network selection. Machine learning based methods are applied to solve these issues. This book also includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a...
Switzerland: Springer Cham, 2019
e20502882
eBooks Universitas Indonesia Library
Yao, Haipeng, author
This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of...
Switzerland: Springer Nature, 2019
e20507752
eBooks Universitas Indonesia Library
Yu, F. Richard, author
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme.
There is...
Switzerland: Springer Nature, 2019
e20507632
eBooks Universitas Indonesia Library
