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人工智能与“星际争霸”:多智能体博弈研究新进展 期刊论文
无人系统技术, 2019, 期号: 1, 页码: 5-16
Authors:  张宏达;  李德才;  何玉庆
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多智能体  实时策略  人工智能  对抗博弈  深度强化学习  
Path Planning of UGV Based on Bézier Curves 期刊论文
Robotica, 2019, 卷号: 37, 期号: 6, 页码: 969-997
Authors:  Hu YM(胡艳明);  Li DC(李德才);  He YQ(何玉庆);  Han JD(韩建达)
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Path planning  Bézier curves  Unmanned ground vehicle  Comfortable driving  Speed planning  
基于增量式RBF网络的Q学习算法 期刊论文
机器人, 2019, 页码: 1-12
Authors:  胡艳明;  李德才;  何玉庆;  韩建达
View  |  Adobe PDF(651Kb)  |  Favorite  |  View/Download:49/5  |  Submit date:2019/06/29
核方法  最小二乘算法  增量式学习  移动机器人  Q学习  
喷水推进式水面机器人H_∞鲁棒航向跟踪控制 期刊论文
控制理论与应用, 2019, 卷号: 36, 期号: 2, 页码: 165-174
Authors:  熊俊峰;  李德才;  何玉庆;  韩建达
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水面机器人  动力学建模  参数辨识  H_∞鲁棒控制  航向跟踪  
A real-time multiagent strategy learning environment and experimental framework 会议论文
Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings, Shanghai, China, June 17-22, 2018
Authors:  Zhang HD(张宏达);  Li DC(李德才);  Yang LY(杨丽英);  Gu F(谷丰);  He YQ(何玉庆)
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Multiagent  Reinforcement learning  Real-time strategy  
An efficient extreme learning machine for robust regression 会议论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Minsk, Belarus, June 25-28, 2018
Authors:  Li DC(李德才);  He YQ(何玉庆)
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Extreme Learning Machine  Robust Regression  Bayesian Method  Huber Loss Function  
Multi-Robot Cooperation Strategy in Game Environment Using Deep Reinforcement Learning 会议论文
Proceedings of the 2018 IEEE International Conference on Robotics and Biomimetics, Kuala Lumpur, Malaysia, December 12-15, 2018
Authors:  Zhang HD(张宏达);  Li DC(李德才);  He YQ(何玉庆)
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一种通用型水面移动机器人平台 专利
专利类型: 发明, 专利号: CN107463109A, 公开日期: 2017-12-12,
Inventors:  何玉庆;  谷丰;  李德才;  韩建达;  熊俊峰;  张纪敏
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Nonlinear Modeling for a Water-Jet Propulsion USV: An Experimental Study 期刊论文
IEEE Transactions on Industrial Electronics, 2017, 卷号: 64, 期号: 4, 页码: 3348-3358
Authors:  Han JD(韩建达);  Xiong JF(熊俊峰);  He YQ(何玉庆);  Gu F(谷丰);  Li DC(李德才)
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Unmanned Surface Vehicles  Quasi-linear Parameter Varying System  Active Modeling  Unscentedkalman Filter  
Vision-based robot path planning with deep learning 会议论文
Computer Vision Systems - 11th International Conference, ICVS 2017, Revised Selected Papers, Shenzhen, China, July 10-13, 2017
Authors:  Wu P(伍平);  Cao Y(曹阳);  He YQ(何玉庆);  Li DC(李德才)
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Path Planning  Convolutional Neural Network (Cnn)  Classification