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水下滑翔蛇形机器人滑翔控制的强化学习方法 期刊论文
机器人, 2019, 卷号: 41, 期号: 3, 页码: 334-342
Authors:  张晓路;  李斌;  常健;  唐敬阁
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强化学习  水下滑翔蛇形机器人  马尔可夫决策过程  循环神经网络  
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
View  |  Adobe PDF(3267Kb)  |  Favorite  |  View/Download：145/23  |  Submit date：2019/06/29
Active object detection  active vision  deep Q-learning network (DQN)  dueling architecture  reinforcement learning  
基于增量式RBF网络的Q学习算法 期刊论文
机器人, 2019, 卷号: 41, 期号: 5, 页码: 562-573
Authors:  胡艳明;  李德才;  何玉庆;  韩建达
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核方法  最小二乘算法  增量式学习  移动机器人  Q学习  
Model-Free Recurrent Reinforcement Learning for AUV Horizontal Control 会议论文
3rd International Conference on Automation, Control and Robotics Engineering, CACRE 2018, Chengdu, China, July 19, 2018 - July 22, 2018
Authors:  Huo YJ(霍雨佳);  Li YP(李一平);  Feng XS(封锡盛)
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Active Object Detection Using Double DQN and Prioritized Experience Replay 会议论文
Proceedings of the International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, July 8-13, 2018
Authors:  Han XN(韩小宁);  Liu H(刘华平);  Sun FC(孙富春);  Yang, Dongfang
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