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NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：60/2  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
Dynamic-horizon model-based value estimation with latent imagination 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-14
作者:  Wang JJ(王俊杰);  Zhang QC(张启超);  Zhao DB(赵冬斌)
Adobe PDF(2305Kb)  |  收藏  |  浏览/下载：183/65  |  提交时间：2023/05/30
Latent world model  model-based value expansion (MVE)  reinforcement learning  reinforcement learning  
Empirical Policy Optimization for n-Player Markov Games 期刊论文
IEEE Transactions on Cybernetics, 2022, 页码: doi={10.1109/TCYB.2022.3179775}
作者:  Yuanheng Zhu;  Weifan Li;  Mengchen Zhao;  Jianye Hao;  Dongbin Zhao
Adobe PDF(1739Kb)  |  收藏  |  浏览/下载：107/42  |  提交时间：2023/04/26
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2838Kb)  |  收藏  |  浏览/下载：236/6  |  提交时间：2022/06/10
Games  Nash equilibrium  Mathematical model  Markov processes  Convergence  Dynamic programming  Training  Deep reinforcement learning (DRL)  generalized policy iteration (GPI)  Markov game (MG)  Nash equilibrium  Q network  zero sum  
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Zixiang, Ding;  Yaran, Chen;  Nannan, Li;  Dongbin, Zhao;  C.L.Philip Chen,
Adobe PDF(764Kb)  |  收藏  |  浏览/下载：230/37  |  提交时间：2022/01/07
broad neural architecture search, stacked broad convolutional neural network, knowledge embedding search, image classification.  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：194/45  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
A Spatial-Temporal Attention Model forHuman Trajectory Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 965-974
作者:  Xiaodong Zhao;  Yaran Chen;  Jin Guo;  Dongbin Zhao
浏览  |  Adobe PDF(42191Kb)  |  收藏  |  浏览/下载：134/31  |  提交时间：2021/03/11
Attention mechanism  long-short term memory (LSTM)  spatial-temporal model  trajectory prediction  
CNN-G: convolutional neural network combined with graph for image segmentation with theoretical analysis 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Liu, Bao;  Lai, Zhichao;  Chen, Jianxin
浏览  |  Adobe PDF(5636Kb)  |  收藏  |  浏览/下载：352/142  |  提交时间：2020/10/19
Graph neural network, image segmentation, self-attention, structure pattern learning.  
Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 卷号: 27, 期号: 4, 页码: 1772-1779
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Zhong, Zhiguang
Adobe PDF(1189Kb)  |  收藏  |  浏览/下载：281/10  |  提交时间：2019/09/30
Adaptive optimal control  cooperative adaptive cruise control (CACC)  heterogeneous platoon  string stability  sum-of-squares polynomial  
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving 期刊论文
IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98
作者:  Dong Li;  Dongbin Zhao;  Qichao Zhang;  Yaran Chen
浏览  |  Adobe PDF(2205Kb)  |  收藏  |  浏览/下载：387/110  |  提交时间：2019/04/25
Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning