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Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 584, 页码: 519-535
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Ziyang;  Zhou, Tianmin;  Wang, Fei-Yue
收藏  |  浏览/下载：176/0  |  提交时间：2021/12/28
Event-triggered  Non-zero-sum games  Parallel control  Neural network  Adaptive dynamic programming  
Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 16
作者:  Li, Li;  Zhao, Can;  Wang, Xiao;  Li, Zhiheng;  Chen, Long;  Lv, Yisheng;  Zheng, Nan-Ning;  Wang, Fei-Yue
收藏  |  浏览/下载：156/0  |  提交时间：2022/01/27
Vehicles  Safety  Accidents  Sensors  Prototypes  Autonomous vehicles  Automation  Autonomous vehicles  driving safety  social interaction  
Convolutional Ordinal Regression Forest for Image Ordinal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Zhu, Haiping;  Shan, Hongming;  Zhang, Yuheng;  Che, Lingfu;  Xu, Xiaoyang;  Zhang, Junping;  Shi, Jianbo;  Wang, Fei-Yue
收藏  |  浏览/下载：169/0  |  提交时间：2022/01/27
Decision trees  Estimation  Task analysis  Forestry  Vegetation  Random forests  Support vector machines  Differentiable decision trees  image ordinal estimation  ordinal distribution learning  ordinal regression (OR)  random forest  
Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 801-812
作者:  Wu, Xinxing;  Zhang, Junping;  Wang, Fei-Yue
收藏  |  浏览/下载：184/0  |  提交时间：2020/06/02
Big data  distributed learning algorithms  distributed simulations  generalization  
Learning Driving Models From Parallel End-to-End Driving Data Set 期刊论文
PROCEEDINGS OF THE IEEE, 2020, 卷号: 108, 期号: 2, 页码: 262-273
作者:  Chen, Long;  Wang, Qing;  Lu, Xiankai;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：193/0  |  提交时间：2020/03/30
Data models  Training  Adaptation models  Task analysis  Reinforcement learning  Decision making  Transforms  Data set  end-to-end driving  parallel driving