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Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Sebnem Ozer, Jeff Howe and Anwar Walid
We introduce a novel multipath data transport approach at the transport layer referred to as ?Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion Control? (DDPG-MPCC), which leverages deep reinforcement learning to enhance co...
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Hyobin Oh, Hansol Shin, Kyuhyeong Kwag, Pyeongik Hwang and Wook Kim
The complexity of modern power systems is increasing because of the development of various intermittent generators. In practical reliability evaluations, it is essential to include both the failure of conventional generators and the output characteristic...
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Yanxia Li and Yang Li
Name resolution system is an important infrastructure in Information Centric Networking (ICN) network architecture of identifier?locator separation mode. In the Local Name Resolution System (LNMRS), a hierarchical name resolution system for latency-sensi...
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Jianya Yuan, Mengxue Han, Hongjian Wang, Bo Zhong, Wei Gao and Dan Yu
Collision avoidance planning has always been a hot and important issue in the field of unmanned aircraft research. In this article, we describe an online collision avoidance planning algorithm for autonomous underwater vehicle (AUV) autonomous navigation...
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Sheng Yu, Wei Zhu and Yong Wang
Wargames are essential simulators for various war scenarios. However, the increasing pace of warfare has rendered traditional wargame decision-making methods inadequate. To address this challenge, wargame-assisted decision-making methods that leverage ar...
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Yuhang Ma, Jiecheng Du, Tihao Yang, Yayun Shi, Libo Wang and Wei Wang
Robust optimization design (ROD) is playing an increasingly significant role in aerodynamic shape optimization and aircraft design. However, an efficient ROD framework that couples uncertainty quantification (UQ) and a powerful optimization algorithm for...
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Jiqing Du, Dan Zhou, Wei Wang and Sachiyo Arai
The Deep Reinforcement Learning (DRL) algorithm is an optimal control method with generalization capacity for complex nonlinear coupled systems. However, the DRL agent maintains control command saturation and response overshoot to achieve the fastest res...
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Jing-Kun Dong and Mao Ye
Overall, this paper provides a comprehensive approach for designing structures subject to rhythmic crowd loading. By considering the randomness of the load model and structural response, the design method provides a more realistic evaluation of the struc...
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Mengjing Gao, Tian Yan, Quancheng Li, Wenxing Fu and Jin Zhang
As defense technology develops, it is essential to study the pursuit?evasion (PE) game problem in hypersonic vehicles, especially in the situation where a head-on scenario is created. Under a head-on situation, the hypersonic vehicle?s speed advantage is...
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Wanli Li, Jiong Li, Ningbo Li, Lei Shao and Mingjie Li
Concerned with the problem of interceptor midcourse guidance trajectory online planning satisfying multiple constraints, an online midcourse guidance trajectory planning method based on deep reinforcement learning (DRL) is proposed. The Markov decision p...
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