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AUV智能化现状与发展趋势 期刊论文
机器人, 2020, 卷号: 42, 期号: 2, 页码: 215-231
Authors:  黄琰;  李岩;  俞建成;  李硕
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自主水下机器人  人工智能  自主感知  智能决策  运动控制  
Two Level Colocation Demand Response with Renewable Energy 期刊论文
IEEE Transactions on Sustainable Computing, 2020, 卷号: 5, 期号: 1, 页码: 147-159
Authors:  Xu HT(徐惠婷);  Jin X(金曦);  Kong FX(孔繁鑫);  Deng QX(邓庆绪)
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Demand response  data center  colocation  renewable  Stackelberg game  stochastic optimization  
无权访问的条目 期刊论文
Authors:  Gao Q(高庆);  Liu JG(刘金国)
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Learning mobile manipulation through deep reinforcement learning 期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 3, 页码: 1-18
Authors:  Wang C(王聪);  Zhang QF(张奇峰);  Tian QY(田启岩);  Li S(李硕);  Wang XH(王晓辉);  Lane, David;  Petillot, Yvan;  Wang, Sen
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mobile manipulation  deep reinforcement learning  deep learning  
基于模仿学习和强化学习的机器人技能自动获取方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  张会文
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技能学习  模仿学习  强化学习  逆强化学习  策略优化  
Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors 期刊论文
Engineering, 2019, 卷号: 5, 期号: 1, 页码: 164-172
Authors:  Yu NB(于宁波);  Wang SR(王石荣)
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Autonomous exploration  RGB-DSensor fusion  Point cloud  Partial map simulation  Global frontier search  
Pedestrian Flow Tracking and Statistics of Monocular Camera Based on Convolutional Neural Network and Kalman Filter 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 8, 页码: 1-13
Authors:  He M(何淼);  Luo HB(罗海波);  Hui B(惠斌);  Chang Z(常铮)
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pedestrian flow statistics  neural network  Kalman filter  multi-object tracking  data association  
Active object detection with multistep action prediction using deep q-network 期刊论文
IEEE Transactions on Industrial Informatics, 2019, 卷号: 15, 期号: 6, 页码: 3723-3731
Authors:  Han XN(韩小宁);  Liu HP(刘华平);  Sun FC(孙富春);  Zhang, Xinyu
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Active object detection  active vision  deep Q-learning network (DQN)  dueling architecture  reinforcement learning  
Dynamic Energy Management of a Microgrid using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning 期刊论文
IEEE Transactions on Smart Grid, 2019, 卷号: 10, 期号: 4, 页码: 4435-4445
Authors:  Zeng P(曾鹏);  Li HP(李鹤鹏);  He HB(何海波);  Li SH(李署辉)
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Microgrid  Dynamic Energy Management System  Approximate Dynamic Programming  Recurrent Neural Network  Deep Learning  
Replacement and inventory control for a multi-customer product service system with decreasing replacement costs 期刊论文
European Journal of Operational Research, 2019, 卷号: 273, 期号: 2, 页码: 561-574
Authors:  Liu XB(刘心报);  Yang TJ(杨天吉);  Pei J(裴军);  Liao, Haitao;  Pohl, Edward A.
View  |  Adobe PDF(1903Kb)  |  Favorite  |  View/Download:151/36  |  Submit date:2018/09/30
Or In Service Industries  Production Service System  Replacement Policies  Inventory Control