Výsledky vyhledávání - "DQN algorithm"

Path planning based on improved deep Q-network algorithm for bionic robotic fish with ocean currents Autor Tian, Qunhong, Li, Jialin, Ran, Guangtao, Li, Hongyu, Ma, Weizhuang

“…Path planning is a fundamental issue for bionic robotic fish (BRF) to complete the missions such as underwater resource exploration, cable inspection, water…”
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A cooperative collision-avoidance control methodology for virtual coupling trains Autor Su, Shuai, Liu, Wentao, Zhu, Qingyang, Li, Ruoqing, Tang, Tao, Lv, Jidong

“…•A novel framework for the RDBM is proposed based on the predicted operation trajectory of the preceding train.•A cooperative collision-avoidance control…”
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Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning Autor Tang, Xiaolin, Zhou, Haitao, Wang, Feng, Wang, Weida, Lin, Xianke

“…Deep reinforcement learning-based energy management strategy play an essential role in improving fuel economy and extending fuel cell lifetime for fuel cell…”
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A guiding DQN algorithm for automated guided vehicle pathfinding problem of robotic mobile fulfillment systems Autor Luo, Lei, Zhao, Ning, Zhu, Yi, Sun, Yangjun

“…This paper proposes an A* guiding deep Q-network (AG-DQN) algorithm for solving the pathfinding problem of an automated guided vehicle (AGV) in a robotic…”
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一种基于深度强化学习算法的电网有功安全校正方法 Autor 孙立钧, 顾雪平, 刘彤, 王铁强, 杨晓东

“…电力系统有功安全校正对于保障电网安全运行具有重要意义.传统有功安全校正方法无法综合考虑系统潮流分布状态和机组的调整性能,求解效率低、涉及调整的机组多,存在调整反复…”
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DQN Simulation Model of Green Cooperative Market Behavior of Multi-Load Users for Optimal Evolution of New-Type Power System Autor ZHANG Shuo, YUAN Chunhui, LI Yingzi, XIAO Yangming, WEI Ming, HE Yunzheng

“…[Objective] To investigate and analyze the driving role of the green behavior of multiple loads on the evolution of a new type of power system and to enhance…”
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Ship global path planning based on improved DQN algorithm Autor Wei GUAN, Sheng QU, Xianku ZHANG, Tongbo HU

“…ObjectiveIn order to improve the economy and safety of ship navigation path in actual sea environment, this paper proposes a ship global path planning method…”
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Robot Path Planning Based on Improved DQN Algorithm Autor Qiru LI, Xia GENG

“…The traditional Deep Q Network(DQN) algorithm solves the dimensionality problem of Q-learning algorithms in complex environments by integrating deep neural…”
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Multi-robot path planning based on a deep reinforcement learning DQN algorithm Autor Yang, Yang, Juntao, Li, Lingling, Peng

“…The unmanned warehouse dispatching system of the ‘goods to people’ model uses a structure mainly based on a handling robot, which saves considerable manpower…”
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基于深度强化学习的智能化渗透测试路径发现 Autor 周仕承, 刘京菊, 钟晓峰, 卢灿举

“…TP393; 渗透测试是通过模拟黑客攻击的方式对网络进行安全测试的通用方法,传统渗透测试方式主要依赖人工进行,具有较高的时间成本和人力成本.智能化渗透测试是未来的发展方…”
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Automatic generation control of diverse energy source-based multiarea power system under deep Q-network-based fuzzy-T2 controller Autor Sahu, Prakash Chandra, Baliarsingh, Reetimukta, Prusty, Ramesh Chandra, Panda, Sidhartha

“…The present research article has proposed a robust type-2 fuzzy PID (T2-FPID) controller to obtain automatic generation control (AGC) of a diverse energy…”
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Intelligent jamming decision-making algorithm based on HRDQN in complex electromagnetic environments Autor LIU Tianyi, WU Xuanli, XU Tao, WANG Jibin, LI Guanghua

“…To address the issues of slow convergence speed and poor energy efficiency of existing intelligent jamming decision-making in communication countermeasures…”
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Autonomous Penetration Testing Based on Improved Deep Q-Network Autor Zhou, Shicheng, Liu, Jingju, Hou, Dongdong, Zhong, Xiaofeng, Zhang, Yue

“…Penetration testing is an effective way to test and evaluate cybersecurity by simulating a cyberattack. However, the traditional methods deeply rely on domain…”
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A novel fault-tolerant scheduling approach for collaborative workflows in an edge-IoT environment Autor Long, Tingyan, Ma, Yong, Wu, Lei, Xia, Yunni, Jiang, Ning, Li, Jianqi, Fu, Xiaodong, You, Xiangmi, Zhang, Bo

“…As a newly emerging computing paradigm, edge computing shows great capability in supporting and boosting 5G and Internet-of-Things (IoT) oriented applications,…”
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基于DQN算法的直流微电网负载接口变换器自抗扰控制策略 Autor 周雪松, 韩静, 马幼捷, 陶珑, 问虎龙, 赵明

“…在直流微电网中,为了保证直流母线与负载之间能量流动的稳定性,解决在能量流动中不确定因素产生的扰动问题.在建立DC-DC变换器数学模型的基础上,设计了一种基于深度强化学习…”
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城轨列车深度强化学习节能优化控制方法 Autor 郭啸, 孟建军, 陈晓强, 胥如迅, 李德仓, 宋明瑞

“…U231%U283.1; 为提高城轨列车自动驾驶(Automatic Train Operation,ATO)的控制性能,针对城轨ATO目标速度曲线追踪控制方法中工况切换频繁、牵引能耗高等问题,以列车准点、精准…”
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Fault-tolerant control system for once-through steam generator based on reinforcement learning algorithm Autor Li, Cheng, Yu, Ren, Yu, Wenmin, Wang, Tianshu

“…Based on the Deep Q-Network(DQN) algorithm of reinforcement learning, an active fault-tolerance method with incremental action is proposed for the control…”
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基于分层强化学习的智能化攻击路径发现方法 Autor 曾庆伟, 张国敏, 邢长友, 宋丽华

“…TP393; 智能化攻击路径发现是开展自动化渗透测试的一项关键技术,但现有方法面临着状态、动作空间呈指数型增长和奖励稀疏等问题,导致算法难以收敛.为此,提出了一种基于分层…”
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Windows Domain Penetration Testing Attack Path Generation Based on Deep Reinforcement Learning Autor HUO Xingpeng, SHA Letian, LIU Jianwen, WU Shang, SU Ziyue

“…Windows domain is a prime target for intranet penetration.However,the scenarios and methods of Windows domain penetration testing are very different from those…”
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Improved double DQN with deep reinforcement learning for UAV indoor autonomous obstacle avoidance Autor Yu, Ruiqi, Li, Qingdang, Ji, Jiewei, Wu, Tingting, Mao, Jian, Liu, Shun, Sun, Zhen

“…Aiming at the problems of insufficient autonomous obstacle avoidance performance of UAVs in complex indoor environments, an improved Double DQN algorithm based…”
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