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pro vyhledávání: '"Nguyen, Hung Son"'
Recommender systems are considered one of the most rapidly growing branches of Artificial Intelligence. The demand for finding more efficient techniques to generate recommendations becomes urgent. However, many recommendations become useless if there
Externí odkaz:
http://arxiv.org/abs/2211.08799
The use of interactive advice in reinforcement learning scenarios allows for speeding up the learning process for autonomous agents. Current interactive reinforcement learning research has been limited to real-time interactions that offer relevant us
Externí odkaz:
http://arxiv.org/abs/2210.05187
Autor:
Vo, Bich Khue, Nguyen, Hung Son
Publikováno v:
In International Journal of Approximate Reasoning July 2024 170
Deep Reinforcement Learning (DeepRL) methods have been widely used in robotics to learn about the environment and acquire behaviors autonomously. Deep Interactive Reinforcement Learning (DeepIRL) includes interactive feedback from an external trainer
Externí odkaz:
http://arxiv.org/abs/2110.08003
Akademický článek
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Autor:
Nguyen, Hung Son1 (AUTHOR) hungson.nguyen@research.deakin.edu.au, Cruz, Francisco2,3 (AUTHOR), Dazeley, Richard1 (AUTHOR)
Publikováno v:
Sensors (14248220). Mar2023, Vol. 23 Issue 5, p2681. 15p.
Autor:
Podolski, Piotr, Nguyen, Hung Son
Publikováno v:
In Procedia Computer Science 2021 192:3370-3379
Autor:
Huynh, Bao, Nguyen, Lam B. Q., Nguyen, Duc H. M., Nguyen, Ngoc Thanh, Nguyen, Hung-Son, Pham, Tuyn, Pham, Tri, Nguyen, Loan T. T., Nguyen, Trinh D. D., Vo, Bay
Publikováno v:
Cybernetics & Systems; 2024, Vol. 55 Issue 3, p693-707, 15p
Publikováno v:
VNU Journal of Science: Mathematics - Physics. 39
This work is designed to focus on the glassy network analysis and visualizing the cluster and subnets formation, the rich set of bond-, edge- and face-sharing linkages. The correlation between the degree of polymerization and linkages forming is appa