Zobrazeno 1 - 10 of 68 pro vyhledávání: '"Ngo Anh Vien"'
1
Akademický článek
Real-Time Energy Harvesting Aided Scheduling in UAV-Assisted D2D Networks Relying on Deep Reinforcement Learning
Autor: Khoi Khac Nguyen, Ngo Anh Vien, Long D. Nguyen, Minh-Tuan Le, Lajos Hanzo, Trung Q. Duong
Publikováno v: IEEE Access, Vol 9, Pp 3638-3648 (2021)
Unmanned aerial vehicle (UAV)-assisted device-to-device (D2D) communications can be deployed flexibly thanks to UAVs' agility. By exploiting the direct D2D interaction supported by UAVs, both the user experience and network performance can be substan
Externí odkaz: https://doaj.org/article/c6999b71c01b4e28983f78532cda12eb
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2
Akademický článek
Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications
Autor: Khoi Khac Nguyen, Trung Q. Duong, Ngo Anh Vien, Nhien-An Le-Khac, Long D. Nguyen
Publikováno v: IEEE Access, Vol 7, Pp 164533-164543 (2019)
Device-to-device (D2D) communication is an emerging technology in the evolution of the 5G network enabled vehicle-to-vehicle (V2V) communications. It is a core technique for the next generation of many platforms and applications, e.g. real-time high-
Externí odkaz: https://doaj.org/article/df3daab963154d1aa51d6faf43d94dc9
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3
Akademický článek
Non-Cooperative Energy Efficient Power Allocation Game in D2D Communication: A Multi-Agent Deep Reinforcement Learning Approach
Autor: Khoi Khac Nguyen, Trung Q. Duong, Ngo Anh Vien, Nhien-An Le-Khac, Minh-Nghia Nguyen
Publikováno v: IEEE Access, Vol 7, Pp 100480-100490 (2019)
Recently, there is the widespread use of mobile devices and sensors, and rapid emergence of new wireless and networking technologies, such as wireless sensor network, device-to-device (D2D) communication, and vehicular ad hoc networks. These networks
Externí odkaz: https://doaj.org/article/4896b9f86cb04ead9106b474c9ac042f
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4
Akademický článek
A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes
Autor: Tuyen P. Le, Ngo Anh Vien, TaeChoong Chung
Publikováno v: IEEE Access, Vol 6, Pp 49089-49102 (2018)
In recent years, reinforcement learning (RL) has achieved remarkable success due to the growing adoption of deep learning techniques and the rapid growth of computing power. Nevertheless, it is well-known that flat reinforcement learning algorithms a
Externí odkaz: https://doaj.org/article/3be1a47d41c84d2996029d49b53536eb
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5
Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process
Autor: Viet-Hung Dang, Dang Quang Nguyen, Ngo Anh Vien, TaeChoong Chung
Publikováno v: Applied Intelligence. 50:4050-4062
Meta-learning has recently received much attention in a wide variety of deep reinforcement learning (DRL). In non-meta-learning, we have to train a deep neural network as a controller to learn a specific control task from scratch using a large amount
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::15135302af7265d98107e38187b0c79a
https://doi.org/10.1007/s10489-020-01748-7
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8
Constrained representation learning for recurrent policy optimisation under uncertainty
Autor: Viet-Hung Dang, TaeChoong Chung, Ngo Anh Vien
Publikováno v: Adaptive Behavior. 29:253-265
Learning to make decisions in partially observable environments is a notorious problem that requires a complex representation of controllers. In most work, the controllers are designed as a non-linear mapping from a sequence of temporal observations
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::718d3bda256ce8a143c36bf16aec96c8
https://doi.org/10.1177/1059712319891641
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9
Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications
Autor: Trung Q. Duong, Nhien-An Le-Khac, Long D. Nguyen, Ngo Anh Vien, Khoi Khac Nguyen
Publikováno v: IEEE Access, Vol 7, Pp 164533-164543 (2019)
Nguyen, K K, Duong, T Q, Vien, N A, Le-Khac, N-A & Nguyen, L D 2019, ' Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications ', IEEE Access, vol. 7, pp. 164533-164543 . https://doi.org/10.1109/ACCESS.2019.2952411
Device-to-device (D2D) communication is an emerging technology in the evolution of the 5G network enabled vehicle-to-vehicle (V2V) communications. It is a core technique for the next generation of many platforms and applications, e.g. real-time high-
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56a8f481c49dca56cedb4b4972514bfc
https://ieeexplore.ieee.org/document/8894348/
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10
Deep Learning-Aided Multicarrier Systems
Autor: Michail Matthaiou, Minh-Tuan Le, Thien Van Luong, Vu-Duc Ngo, Youngwook Ko, Ngo Anh Vien
Publikováno v: Luong, T V, Ko, Y, Matthaiou, M, Ngo, V, Le, M-T & Ngo, V-D 2020, ' Deep Learning-Aided Multicarrier Systems ', IEEE Transactions on Wireless Communications . https://doi.org/10.1109/TWC.2020.3039180
This paper proposes a deep learning (DL)-aided multicarrier (MC) system operating on fading channels, where both modulation and demodulation blocks are modeled by deep neural networks (DNNs), regarded as the encoder and decoder of an autoencoder (AE)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313680fe681a089eb07d46a17126a40d
https://eprints.whiterose.ac.uk/168094/1/FINAL_VERSION.pdf
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