发表论文
[1] Chai, Jiajun, Chen, Wenzhang, Zhu, Yuanheng, Yao, ZongXin, Zhao, Dongbin. A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 53(9): 5417-5429, http://dx.doi.org/10.1109/TSMC.2023.3270444.[2] Chai, Jiajun, Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin, Ma, Zhe, Sun, Kewu, Ding, Jishiyu. UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, 34(4): 2093-2104, http://dx.doi.org/10.1109/TNNLS.2021.3105869.[3] Li, Nannan, Chen, Yaran, Li, Weifan, Ding, Zixiang, Zhao, Dongbin, Nie, Shuai. BViT: Broad Attention-Based Vision Transformer. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, http://dx.doi.org/10.1109/TNNLS.2023.3264730.[4] 卢毅, 陈亚冉, 赵冬斌, 刘暴, 来志超, 王超楠. 关键点图对比图像分类方法. 智能系统学报[J]. 2023, 18(1): 36-46, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7442151&detailType=1.[5] Hu, Guangzheng, Li, Haoran, Liu, Shasha, Zhu, Yuanheng, Zhao,Dongbin. NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. 2023 International Joint Conference on Neural Networks(IJCNN)null. 2023, [6] Ding, Zixiang, Chen, Yaran, Li, Nannan, Zhao, Dongbin, Sun, Zhiquan, Chen, C L Philip. BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, 33(9): 5004-5018, http://dx.doi.org/10.1109/TNNLS.2021.3067028.[7] Zhang, Qichao, Gao, Yinfeng, Zhang, Yikang, Guo, Youtian, Ding, Dawei, Wang, Yunpeng, Sun, Peng, Zhao, Dongbin. TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2022, 23(12): 24474-24487, http://dx.doi.org/10.1109/TITS.2022.3202185.[8] 刘民颂, 李论通, 邵帅, 朱圆恒, 赵冬斌. Soft Contrastive Learning with Q-irrelevance Abstraction for Reinforcement Learning. Ieee transactions on cognitive and developmental systems[J]. 2022, [9] Zhu, Yuanheng, Li, Weifan, Zhao, Mengchen, Hao, Jianye, Zhao, Dongbin. Empirical Policy Optimization for n-Player Markov Games. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2022, http://dx.doi.org/10.1109/TCYB.2022.3179775.[10] Zhu, Yuanheng, Zhao, Dongbin. Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, 33(3): 1228-1241, http://dx.doi.org/10.1109/TNNLS.2020.3041469.[11] Li, Nannan, Pan, Yu, Chen, Yaran, Ding, Zixiang, Zhao, Dongbin, Xu, Zenglin. Heuristic rank selection with progressively searching tensor ring network. COMPLEX & INTELLIGENT SYSTEMS[J]. 2022, 8(2): 771-785, http://dx.doi.org/10.1007/s40747-021-00308-x.[12] Ding, Zixiang, Chen, Yaran, Li, Nannan, Zhao, Dongbin. BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(10): 6259-6272, http://dx.doi.org/10.1109/TSMC.2022.3143201.[13] Li, Haoran, Chen, Yaran, Zhang, Qichao, Zhao, Dongbin. BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2022, 52(9): 8617-8628, http://dx.doi.org/10.1109/TCYB.2021.3105488.[14] 唐振韬, 梁荣钦, 朱圆恒, 赵冬斌. 实时格斗游戏的智能决策方法. 控制理论与应用. 2022, 39(6): 969-985, https://d.wanfangdata.com.cn/periodical/kzllyyy202206001.[15] Wang, Junjie, Zhang, Qichao, Zhao, Dongbin. Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. IEEE-CAA JOURNAL OF AUTOMATICA SINICAnull. 2022, 9(3): 567-569, http://dx.doi.org/10.1109/JAS.2021.1004395.[16] Li, Haoran, Duan, Zicheng, Li, Jiaqi, Ma, Mingjun, Chen, Yaran, Zhao, Dongbin. Neurons Perception Dataset for RoboMaster AI Challenge. 2022 IEEE World Congress on Computational Intelligence (WCCI)null. 2022, [17] Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin. Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. COMPLEX & INTELLIGENT SYSTEMS[J]. 2022, 8(2): 1205-1216, http://dx.doi.org/10.1007/s40747-021-00577-6.[18] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Liu, Bao, Lai, Zhichao, Chen, Jianxin. CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2021, 13(3): 631-644, http://dx.doi.org/10.1109/TCDS.2020.2998497.[19] Chai, Jiajun, Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin, Ma, Zhe, Sun, Kewu, Ding, Jishiyu. UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000733450200001.[20] Li, Haoran, Chen, Yaran, Zhang, Qichao, Zhao, Dongbin. BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2021, http://dx.doi.org/10.1109/TCYB.2021.3105488.[21] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo. Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2021, 18(3): 1097-1108, http://dx.doi.org/10.1109/TASE.2020.2996018.[22] Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin. Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. COMPLEXINTELLIGENTSYSTEMS[J]. 2021, 12-, [23] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Li, Dong. MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. NEUROCOMPUTING[J]. 2021, 421: 140-150, http://dx.doi.org/10.1016/j.neucom.2020.07.091.[24] Ding, Zixiang, Chen, Yaran, Li, Nannan, Zhao, Dongbin, Sun, Zhiquan, Chen, C L Philip. BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2021, http://dx.doi.org/10.1109/TNNLS.2021.3067028.[25] Hu, Guangzheng, Zhu, Yuanheng, Zhao, Dongbin, Zhao, Mengchen, Hao, Jianye. Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000732283100001.[26] Mu, Chaoxu, Wang, Ke, Zhang, Qichao, Zhao, Dongbin. Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. INFORMATION SCIENCES[J]. 2020, 517: 1-17, http://dx.doi.org/10.1016/j.ins.2019.12.078.[27] Li, Haoran, Zhang, Qichao, Zhao, Dongbin. Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2020, 31(6): 2064-2076, http://dx.doi.org/10.1109/TNNLS.2019.2927869.[28] Shao, Kun, Zhu, Yuanheng, Tang, Zhentao, Zhao, Dongbin, IEEE. Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, [29] Liu, Minsong, Zhu, Yuanheng, Zhao, Dongbin, IEEE. An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, [30] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo. Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2020, 50(11): 3959-3971, http://dx.doi.org/10.1109/TSMC.2019.2911900.[31] Zhao Dongbin. Advances in Deep Neural Information Processing - Editorial. Neurocomputing. 2020, [32] Zhao, Dongbin, Duan, Shukai, Yan, Zheng, Alippi, Cesare. Advances in deep neural information processing. NEUROCOMPUTING. 2020, 408: 80-81, http://dx.doi.org/10.1016/j.neucom.2020.01.001.[33] Zhu, Yuanheng, He, Haibo, Zhao, Dongbin. LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2020, 21(11): 4516-4525, https://www.webofscience.com/wos/woscc/full-record/WOS:000587709700003.[34] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo. Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY[J]. 2020, 69(4): 3615-3627, https://www.webofscience.com/wos/woscc/full-record/WOS:000530284400009.[35] Zhao Dongbin. A spatial-temporal LSTM model for human trajectory prediction. IEEE/CAA Journal of Automation Sinica. 2020, [36] Zhao, Xiaodong, Chen, Yaran, Guo, Jin, Zhao, Dongbin. A spatial-temporal attention model for human trajectory prediction. IEEE-CAA JOURNAL OF AUTOMATICA SINICA[J]. 2020, 7(4): 965-974, http://dx.doi.org/10.1109/JAS.2020.1003228.[37] Wang, Xu, Liu, Jingwei, Wu, Chaoyong, Liu, Junhong, Li, Qianqian, Chen, Yufeng, Wang, Xinrong, Chen, Xinli, Pang, Xiaohan, Chang, Binglong, Lin, Jiaying, Zhao, Shifeng, Li, Zhihong, Deng, Qingqiong, Lu, Yi, Zhao, Dongbin, Chen, Jianxin. Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for recognizing unhealthy tongue with tooth-mark. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL[J]. 2020, 18: 973-980, https://doaj.org/article/dd1c9f66bc8e44049bdda09f7ddac7ce.[38] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Chen, Jianxin, Lu, H, Tang, H, Wang, Z. Graph-FCN for Image Semantic Segmentation. ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT Inull. 2019, 11554: 97-105, [39] Zhu, Yuanheng, Zhao, Dongbin, Li, Xiangjun, Wang, Ding. Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. IEEE TRANSACTIONS ON SMART GRID[J]. 2019, 10(4): 4235-4244, https://www.webofscience.com/wos/woscc/full-record/WOS:000472577500065.[40] Zhao Dongbin. Adaptive optimal control of cooperative adaptive cruise control with uncertain heterogeneous vehicles. IEEE Control System Technology. 2019, [41] Shao, Kun, Zhu, Yuanheng, Zha, Dongbin. StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE[J]. 2019, 3(1): 73-84, http://dx.doi.org/10.1109/TETCI.2018.2823329.[42] Gao, Yinfeng, Liu, Yuqi, Zhang, Qichao, Wang, Yu, Zhao, Dongbin, Ding, Dawei, Pang, Zhonghua, Zhang, Yueming, IEEE. Comparison of Control Methods Based on Imitation Learning for Autonomous Driving. 2019 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP)null. 2019, 274-281, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000613247000046.[43] Zhu, Yuanheng, He, Haibo, Zhao, Dongbin, Hou, Zhongsheng, IEEE. Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [44] Su, Hao, Chen, Yaran, Tong, Shiwen, Zhao, Dongbin, IEEE. Real-time multiple object tracking based on optical flow. 2019 9TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2019)null. 2019, 350-356, [45] Chen, Yaran, Zhao, Dongbin, Li, Haoran, IEEE. Deep Kalman Filter with Optical Flow for Multiple Object Tracking. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)null. 2019, 3036-3041, [46] Lv, Le, Zhao, Dongbin, Shao, Kun. Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. SOFT COMPUTING[J]. 2019, 23(18): 8711-8722, http://dx.doi.org/10.1007/s00500-018-3468-3.[47] Li, Dong, Zhao, Dongbin, Zhang, Qichao, Chen, Yaran. Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE[J]. 2019, 14(2): 83-98, http://ir.ia.ac.cn/handle/173211/23517.[48] Wang, Bin, Zhao, Dongbin, Cheng, Jin. Adaptive cruise control via adaptive dynamic programming with experience replay. SOFT COMPUTING[J]. 2019, 23(12): 4131-4144, http://ir.ia.ac.cn/handle/173211/24396.[49] Zhang, Qichao, Zhao, Dongbin. Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2019, 49(8): 2874-2885, http://ir.ia.ac.cn/handle/173211/24567.[50] Wang, Junjie, Zhang, Qichao, Zhao, Dongbin, Chen, Yaran, IEEE. Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000530893803042.[51] Zhu, Yuanheng, Zhao, Dongbin, Zhong, Zhiguang. Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY[J]. 2019, 27(4): 1772-1779, [52] Zhang, Qichao, Luo, Rui, Zhao, Dongbin, Luo, Chaomin, Qian, Dianwei, IEEE. Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [53] Tang Zhentao, Shao Kun, Zhu Yuanheng, Li Dong, Zhao Dongbin, Huang Tingwen, Sundaram S. A Review of Computational Intelligence for StarCraft AI. 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)null. 2018, 1167-1173, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459238800159.[54] Zhao, Xiaodong, Zhang, Qichao, Zhao, Dongbin, Pang, Zhonghua, Sun, MX, Zhang, HG. Overview of Image Segmentation and Its Application on Free Space Detection. PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS)null. 2018, 1164-1169, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000450645900210.[55] Chen, Yaran, Zhao, Dongbin, Lv, Le, Zhang, Qichao. Multi-task learning for dangerous object detection in autonomous driving. INFORMATION SCIENCES[J]. 2018, 432(*): 559-571, http://dx.doi.org/10.1016/j.ins.2017.08.035.[56] Zhao Dongbin, Li Haoran, Li Dong, Guo Ping, Chen Yaran. A Temporal-based Deep Learning Method for Multiple Objects Detection in Autonomous Driving. 2018, http://ir.ia.ac.cn/handle/173211/23521.[57] Zhu, Yuanheng, Zhao, Dongbin. Comprehensive comparison of online ADP algorithms for continuous-time optimal control. ARTIFICIAL INTELLIGENCE REVIEW[J]. 2018, 49(4): 531-547, https://www.webofscience.com/wos/woscc/full-record/WOS:000426912500004.[58] Zhang, Zhen, Wang, Dongqing, Zhao, Dongbin, Han, Qiaoni, Song, Tingting. A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents. IEEE ACCESS[J]. 2018, 6: 70223-70235, http://ir.ia.ac.cn/handle/173211/25665.[59] Zhao, Dongbin, Liu, Derong, Lewis, F L, Principe, Jose C, Squartini, Stefano. Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2018, 29(6): 2038-2041, https://www.webofscience.com/wos/woscc/full-record/WOS:000432398300001.[60] Li Dong, Zhao Dongbin, Zhang Qichao, Zhu Yuanheng, Sundaram S. An Autonomous Driving Experience Platform with Learning-Based Functions. 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)null. 2018, 1174-1179, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459238800160.[61] Yuanheng Zhu, Nannan Li, Kun Shao, Dongbin Zhao. Learning battles in ViZDoom via deep reinforcement learning. 2018, http://ir.ia.ac.cn/handle/173211/23364.[62] Zhang, Qichao, Zhao, Dongbin, Lewis, Frank L, IEEE. Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [63] Zhu, Yuanheng, Zhao, Dongbin, Yang, Xiong, Zhang, Qichao. Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2018, 48(2): 500-509, https://www.webofscience.com/wos/woscc/full-record/WOS:000422925700005.[64] Zhang, Qichao, Zhao, Dongbin, Wang, Ding. Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(1): 37-50, https://www.webofscience.com/wos/woscc/full-record/WOS:000419558900004.[65] Shao, Kun, Zhao, Dongbin, Zhu, Yuanheng, Zhang, Qichao, IEEE. Visual Navigation with Actor-Critic Deep Reinforcement Learning. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [66] Chen, Yaran, Zhao, Dongbin, Li, Haoran, Li, Dong, Guo, Ping, IEEE. A temporal-based deep learning method for multiple objects detection in autonomous driving. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [67] Bu, Li, Alippi, Cesare, Zhao, Dongbin. A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(2): 324-334, https://www.webofscience.com/wos/woscc/full-record/WOS:000422952400007.[68] Wu, I C, Lee, C S, Tian, Y, Mueller, M. Guest Editorial Special Issue on Deep/Reinforcement Learning and Games. IEEE TRANSACTIONS ON GAMESnull. 2018, 10(4): 333-335, https://www.webofscience.com/wos/woscc/full-record/WOS:000453577300001.[69] Zhao Dongbin. Comprehesive comparison of online ADP algorithms for continuous-time optimal control. Artificial Intelligence Review. 2018, [70] Li, Dong, Zhao, Dongbin, Chen, Yaran, Zhang, Qichao, IEEE. DeepSign: Deep Learning based Traffic Sign Recognition. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2018, [71] Lu, Yi, Chen, Yaran, Zhao, Dongbin, Li, Haoran, IEEE. Hybrid Deep Learning Based Moving Object Detection via Motion prediction. 2018 CHINESE AUTOMATION CONGRESS (CAC)null. 2018, 1442-1447, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459239501089.[72] Zhu Yuanheng, Zhang Qichao, Zhao Dongbin, Li Dong. An Autonomous Driving Experience Platform with Learning-Based Functions. 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)null. 2018, 1174-1179, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000459238800160.[73] Yuanheng Zhu, Qichao Zhang, Dongbin Zhao, Kun Shao. Visual navigation with Actor-Critic deep reinforcement learning. 2018, http://ir.ia.ac.cn/handle/173211/23365.[74] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo, Ji, Junhong. Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS[J]. 2017, 64(5): 4101-4109, https://www.webofscience.com/wos/woscc/full-record/WOS:000399674000064.[75] Deng QingQiong, Zhao Dongbin, Lv Le. Image Clustering based on Deep Sparse Representations. 2016 IEEE Symposium Series on Computational Intelligence: SSCI 2016, Athens, Greece, 6-9 December 2016, pages 2037-2712, v.4null. 2017, 2108-2113, http://ir.ia.ac.cn/handle/173211/14471.[76] Bu Li, Zhao Dongbin, Alippi Cesare. An Incremental Change Detection Test Based on Density Difference Estimation. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS[J]. 2017, [77] Li, Chengdong, Ding, Zixiang, Zhao, Dongbin, Yi, Jianqiang, Zhang, Guiqing. Building Energy Consumption Prediction: An Extreme Deep Learning Approach. ENERGIES[J]. 2017, 10(10): https://doaj.org/article/97e10cd1f86645f384b67cc9b9f33881.[78] Zhang, Qichao, Zhao, Dongbin, Zhu, Yuanheng. Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. NEUROCOMPUTING[J]. 2017, 238(*): 377-386, http://dx.doi.org/10.1016/j.neucom.2017.01.076.[79] Zhao, Dongbin, Chen, Yaran, Lv, Le. Deep Reinforcement Learning With Visual Attention for Vehicle Classification. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2017, 9(4): 356-367, http://dx.doi.org/10.1109/TCDS.2016.2614675.[80] Li Dong, Zhao Dongbin, Zhang Qichao, Luo Chaomin, IEEE. Policy Gradient Methods with Gaussian Process Modelling Acceleration. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2017, 1774-1779, [81] Qichao Zhang, Haoran Li, Dongbin Zhao. Comparison of methods to efficient graph SLAM under general optimization framework. YAC 2017null. 2017, *-, http://ir.ia.ac.cn/handle/173211/19422.[82] Zhao Dongbin. Editorial: new developments in neural network structures for signal processing, autonomous decision, and adaptive controll. IEEE Transactions on Neural Networks and Learning Systems. 2017, [83] 朱圆恒, 赵冬斌, 邵坤. Cooperative Reinforcement Learning for Multiple Units Combat in StarCraft. 2017, http://ir.ia.ac.cn/handle/173211/15399.[84] Tang Zhentao, Lv Le, Shao Kun, Zhao Dongbin. ADP with MCTS algorithm for Gomoku. 2017, http://ir.ia.ac.cn/handle/173211/14475.[85] Zhao Dongbin, Wei Qinglai, Alippi Cesare, Bu Li. A Kolmogorov-Smirnov Test to Detect Changes in Stationarity in Big Data. IFAC PAPERSONLINEnull. 2017, 50(1): 14260-14265, http://dx.doi.org/10.1016/j.ifacol.2017.08.1821.[86] Zhu, Yuanheng, Zhao, Dongbin, Li, Xiangjun. Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2017, 28(3): 714-725, https://www.webofscience.com/wos/woscc/full-record/WOS:000395980500020.[87] 唐振韬, 邵坤, 赵冬斌, 朱圆恒. 深度强化学习进展: 从 AlphaGo 到 AlphaGo Zero. 控 制 理 论 与 应 用[J]. 2017, 34(12): 1529-1546, http://lib.cqvip.com/Qikan/Article/Detail?id=7000480876.[88] Zhang Qichao, Zhao Dongbin, Zhu Yuanheng. Event-Triggered $H_\\infty $ Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS[J]. 2017, [89] Lv, Le, Zhao, Dongbin, Deng, Qingqiong. A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning. COGNITIVE COMPUTATION[J]. 2017, 9(1): 115-124, https://www.webofscience.com/wos/woscc/full-record/WOS:000394418100008.[90] Zhao, Dongbin, Xia, Zhongpu, Zhang, Qichao. Model-free Optimal Control based Intelligent Cruise Control with Hardware-in-the-loop Demonstration. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE[J]. 2017, 12(2): 56-69, http://dx.doi.org/10.1109/MCI.2017.2670463.[91] Zhao Dongbin. Event-triggered optimal control for nonlinear constrained-input systems with partially unknown dynamics via adaptive dynamic programming. IEEE Transactions on Industrial Electronics. 2017, [92] Shengli Xie, Derong Liu, Dongbin Zhao, ElSayed M ElAlfy, Yuanqing Li. Neural Information Processing. NEURALINFORMATIONPROCESSINGLECTURENOTESINCOMPUTERSCIENCE. 2017, 10636, 10637, 10638, 10639,-, http://ir.ia.ac.cn/handle/173211/19892.[93] Chen, Yaran, Zhao, Dongbin, Cong, F, Leung, A, Wei, Q. Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection. ADVANCES IN NEURAL NETWORKS, PT Inull. 2017, 10261: 28-35, [94] Zhao Dongbin, Zhang Qichao. Data-driven adaptive dynamic programming for two-player nonzero-sum game. 2017, http://ir.ia.ac.cn/handle/173211/14342.[95] Bu, Li, Zhao, Dongbin, Alippi, Cesare. An Incremental Change Detection Test Based on Density Difference Estimation. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2017, 47(10): 2714-2726, https://www.webofscience.com/wos/woscc/full-record/WOS:000411098200009.[96] Zhang, Qichao, Zhao, Dongbin, Zhu, Yuanheng. Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2017, 47(7): 1071-1081, https://www.webofscience.com/wos/woscc/full-record/WOS:000404354600004.[97] Zhang, Zhen, Zhao, Dongbin, Gao, Junwei, Wang, Dongqing, Dai, Yujie. FMRQ-A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2017, 47(6): 1367-1379, http://dx.doi.org/10.1109/TCYB.2016.2544866.[98] Li Dong, Zhao Dongbin, Zhang Qichao, Luo Chaomin, IEEE. Policy Gradient Methods with Gaussian Process Modelling Acceleration. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2017, 1774-1779, [99] Wang, Ding, Liu, Derong, Zhang, Qichao, Zhao, Dongbin. Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2016, 46(11): 1544-1555, https://www.webofscience.com/wos/woscc/full-record/WOS:000386225800006.[100] Tang, Yufei, He, Haibo, Ni, Zhen, Zhong, Xiangnan, Zhao, Dongbin, Xu, Xin. Fuzzy-Based Goal Representation Adaptive Dynamic Programming. IEEE TRANSACTIONS ON FUZZY SYSTEMS[J]. 2016, 24(5): 1159-1175, http://dx.doi.org/10.1109/TFUZZ.2015.2505327.[101] Zhu, Yuanheng, Zhao, Dongbin, Li, Xiangjun. Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics. IET CONTROL THEORY AND APPLICATIONS[J]. 2016, 10(12): 1339-1347, [102] Zhu Yuanheng, Chen Xi, Zhao Dongbin, Zhang Qichao. Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. 2016, http://ir.ia.ac.cn/handle/173211/14340.[103] Li Dong, Xia Zhongpu, Zhao Dongbin. A Perturbed Gaussian Process Regression with Chunk Sparsification for Tracking Non-stationary Systems. PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC)null. 2016, 6639-6644, [104] Zhao Dongbin, Alippi Cesare, Bu Li. Ensemble LSDD-based change detection tests. 2016, http://ir.ia.ac.cn/handle/173211/14332.[105] 周彤, 李栋, 朱圆恒, 王成红, 刘德荣, 王海涛, 陈亚冉, 邵坤, 赵冬斌. 深度强化学习综述:兼论计算机围棋的发展. 控制理论与应用[J]. 2016, 33(6): 701-717, [106] Zhao Dongbin, Wang Haitao, Shao Kun, Zhu Yuanheng, IEEE. Deep Reinforcement Learning with Experience Replay Based on SARSA. PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)null. 2016, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000400488300013.[107] 孙长银, 王成红, 胡跃明, 赵东斌, 周彤, 苏剑波. “机器智能、系统优化与最优决策”专刊前言. 控制理论与应用[J]. 2016, 33(12): 1553-1554, http://lib.cqvip.com/Qikan/Article/Detail?id=7000119650.[108] Zhao Dongbin. Model-free iterative adaptive dynamic programming solving unknown nonlinear zero-sum game based on online measurement. IEEE Transactions on Neural Networks and Learning Systems. 2016, [109] ZhuYuanheng, ShaoKun, WangHaitao, 赵冬斌. Deep reinforcement learning with Experience Replay based on SARSA. 2016, http://ir.ia.ac.cn/handle/173211/19877.[110] Dongbin Zhao, Le Lv, Qingqiong Deng. Image clustering based on the deep sparse representations. COMPUTATIONAL INTELLIGENCE (SSCI), 2016 IEEE SYMPOSIUM SERIES ONnull. 2016, 1-6, http://ir.ia.ac.cn/handle/173211/19423.[111] Zhao, Dongbin, Zhang, Qichao, Wang, Ding, Zhu, Yuanheng. Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2016, 46(3): 854-865, https://www.webofscience.com/wos/woscc/full-record/WOS:000370963500023.[112] Chen, Yaran, Zhao, Dongbin, Lv, Le, Li, Chengdong, IEEE. A Visual Attention Based Convolutional Neural Network for Image Classification. PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2016, 764-769, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000388373802067.[113] Bu Li, Alippi Cesare, Zhao Dongbin, IEEE. Ensemble LSDD-based Change Detection Tests. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2016, 4064-4069, [114] Xia, Zhongpu, Zhao, Dongbin. Online reinforcement learning control by Bayesian inference. IET CONTROL THEORY AND APPLICATIONS[J]. 2016, 10(12): 1331-1338, https://www.webofscience.com/wos/woscc/full-record/WOS:000381410000003.[115] Wang, Ding, Liu, Derong, Zhang, Qichao, Zhao, Dongbin. Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2016, 46(11): 1544-1555, https://www.webofscience.com/wos/woscc/full-record/WOS:000386225800006.[116] 赵冬斌, 朱圆恒. 概率近似正确的强化学习算法解决连续状态空间控制问题. 控制理论与应用[J]. 2016, 33(12): 1603-1613, http://lib.cqvip.com/Qikan/Article/Detail?id=7000119656.[117] Ni, Zhen, He, Haibo, Zhao, Dongbin, Xu, Xin, Prokhorov, Danil V. GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2015, 26(3): 614-627, http://dx.doi.org/10.1109/TNNLS.2014.2329942.[118] Zhao Dongbin, ZhangQichao, Li Chengdong, Wei Qinglai. Consensus of Heterogeneous Multi-agent Systems With Switching Topologies Using Input-output Feedback Linearization. 2015 34th Chinese control conference: CCC 2015, Hangzhou, China, 28-30 July 2015, pages 6414-7296, v.8null. 2015, 6872-6877, http://ir.ia.ac.cn/handle/173211/14338.[119] Zhang, Qichao, Zhao, Dongbin, Wei, Qinglai, Li, Chengdong, Zhao, Q, Liu, S. Consensus of Heterogeneous Multi-agent Systems With Switching Topologies Using Input-output Feedback Linearization. 2015 34TH CHINESE CONTROL CONFERENCE (CCC)null. 2015, 6872-6877, [120] Squartini, Stefano, Liu, Derong, Piazza, Francesco, Zhao, Dongbin, He, Haibo. Computational Energy Management in Smart Grids. NEUROCOMPUTING. 2015, 170: 267-269, http://dx.doi.org/10.1016/j.neucom.2015.05.110.[121] Zhu, Yuanheng, Zhao, Dongbin, He, Haibo, Ji, Junhong. Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. COGNITIVE COMPUTATION[J]. 2015, 7(6): 763-771, http://ir.ia.ac.cn/handle/173211/10525.[122] 王革, 刘广天, 汪海洪, 巩可欣, 赵冬斌. 能源存储:一种新的方法. 能源存储:一种新的方法. 2015, http://ir.ia.ac.cn/handle/173211/19889.[123] Zhao, Dongbin, Zhu, Yuanheng. MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2015, 26(2): 346-356, http://www.irgrid.ac.cn/handle/1471x/980893.[124] Zhu, Yuanheng, Zhao, Dongbin. A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. NEURAL COMPUTING & APPLICATIONS[J]. 2015, 26(4): 775-787, http://www.irgrid.ac.cn/handle/1471x/980902.[125] 赵冬斌, Yuanheng Zhu. Model-Free Adaptive Algorithm for Optimal Control of Continuous-Time Nonlinear System. 2015, http://ir.ia.ac.cn/handle/173211/15282.[126] Zhao Dongbin, Zhang Qichao, Li Xiangjun, Kong Lingda, Hu X, Xia Y, Zhang Y, Zhao D. Event-Triggered H-infinity Control for Continuous-Time Nonlinear System. ADVANCES IN NEURAL NETWORKS - ISNN 2015null. 2015, 9377: 62-70, [127] Xu, Xin, He, Haibo, Zhao, Dongbin, Sun, Shiliang, Busoniu, Lucian, Yang, Simon X. Machine Learning with Applications to Autonomous Systems. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2015, 2015: http://ir.ia.ac.cn/handle/173211/10500.[128] Li Dong, Zhao Dongbin, Zhu Yuanheng, Xia Zhongpu, IEEE. Thermal Comfort Control Based on MEC Algorithm for HVAC Systems. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2015, [129] Dongbin Zhao, 夏中谱. Online Reinforcement Learning by Bayesian Inference. PROCEEDINGS OF INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2015null. 2015, http://ir.ia.ac.cn/handle/173211/11434.[130] 赵冬斌, ZhangZhen. Clique-based cooperative multiagent reinforcement learning using factor graphs. IEEE/CAA JOURNAL OF AUTOMATICA SINICA[J]. 2015, 3(1): 248-256, http://ir.ia.ac.cn/handle/173211/19321.[131] Zhao, Dongbin, Xia, Zhongpu, Wang, Ding. Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2015, 12(4): 1461-1468, http://dx.doi.org/10.1109/TASE.2014.2348991.[132] 徐延才, 王澄, 赵冬斌, 刘德荣, 魏庆来. 智能小区商业模式及运营策略分析. 电力系统保护与控制[J]. 2015, 43(6): 147-154, http://lib.cqvip.com/Qikan/Article/Detail?id=663987471.[133] Zhao Dongbin. Model-free optimal control for affine nonlinear systems based on action dependent heuristic dynamic programming with convergency analysis. IEEE Transactions on Automation and Science Engineering. 2015, [134] Zhu, Yuanheng, Zhao, Dongbin, Liu, Derong. Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. NEUROCOMPUTING[J]. 2015, 149: 124-131, http://dx.doi.org/10.1016/j.neucom.2013.11.055.[135] Wang Haitao, Zhao Dongbin, Li Chengdong, IEEE. Online Synchronous Policy Iteration Based on Concurrent Learning to Solve Continuous-time Optimal Control Problem. 2015 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST)null. 2015, 297-302, [136] Li Dong, Xia Zhongpu, Zhu Yuanheng, Zhao Dongbin. Thermal Comfort Control Based on MEC Algorithm for HVAC System. 2015, http://ir.ia.ac.cn/handle/173211/15667.[137] Haitao Wang, Chengdong Li, Dongbin Zhao. Online Synchronous Policy Iteration Based on Concurrent Learning to Solve Continuous-time Optimal Control Problem. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGYnull. 2015, http://ir.ia.ac.cn/handle/173211/11385.[138] 王澄, 刘德荣, 魏庆来, 赵冬斌, 夏振超. 带有储能设备的智能电网电能迭代自适应动态规划最优控制. 自动化学报[J]. 2014, 40(9): 1984-1990, https://d.wanfangdata.com.cn/periodical/zdhxb201409018.[139] Zhongpu Xia, Dongbin Zhao, Huajin Tang. Model-free Adaptive Dynamic Programming for Optimal Control of Discrete-time Affine Nonlinear System. IFAC PROCEEDINGS VOLUMES. 2014, 47(3): 7049-7054, http://dx.doi.org/10.3182/20140824-6-ZA-1003.01368.[140] Alippi, Cesare, Liu, Derong, Zhao, Dongbin, Bu, Li. Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2014, 44(3): 353-362, http://dx.doi.org/10.1109/TSMC.2013.2252895.[141] Li Bu, Dongbin Zhao, Yu Liu, Qiang Guan. A hierarchical classification algorithm for evaluating energy consumption behaviors. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2014, 1461-1466., http://www.irgrid.ac.cn/handle/1471x/973410.[142] Zhao, Dongbin, Hu, Zhaohui, Xia, Zhongpu, Alippi, Cesare, Zhu, Yuanheng, Wang, Ding. Full-range adaptive cruise control based on supervised adaptive dynamic programming. NEUROCOMPUTING[J]. 2014, 125: 57-67, http://dx.doi.org/10.1016/j.neucom.2012.09.034.[143] Bin Wang, Dongbin Zhao. A Kaiman filter-based actor-critic learning approach. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2014, 3657-3662, http://ir.ia.ac.cn/handle/173211/5167.[144] Dongbin Zhao. Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2014, 3677-3784, http://ir.ia.ac.cn/handle/173211/5168.[145] Yuanheng Zhu, Dongbin Zhao, Haibo He. An high-efficient online reinforcement learning algorithm for continuous-state systems. IEEE WORLD CONGRESSON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2014, 581-586., http://www.irgrid.ac.cn/handle/1471x/973405.[146] Yuanheng Zhu, 赵冬斌. Online reinforcement learning for continuous-state systems. FRONTIERS OF INTELLIGENT CONTROL AND INFORMATION PROCESSING. 2014, http://ir.ia.ac.cn/handle/173211/15280.[147] Wang, Bin, Zhao, Dongbin, Alippi, Cesare, Liu, Derong. Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. NEUROCOMPUTING[J]. 2014, 134: 222-229, http://dx.doi.org/10.1016/j.neucom.2013.06.037.[148] Dongbin Zhao, 夏中谱. Model-free adaptive dynamic programming for optimal control of discrete-time affine nonlinear system. PROCEEDINGS OF INTERNATIONAL FEDERATION OF AUTOMATIC CONTROL 2014null. 2014, http://ir.ia.ac.cn/handle/173211/11460.[149] Zhao Dongbin, Fan Zhijiang, Lv Le. Cheating Behavior Detection based-on Pictorial Structure Model. 2014, http://ir.ia.ac.cn/handle/173211/14473.[150] 王澄, 魏庆来, 赵冬斌, 刘德荣, 夏振超. 基于数据的智能电网电能自适应优化调控. 控制工程[J]. 2014, 21(5): 753-759, https://d.wanfangdata.com.cn/periodical/jczdh201405029.[151] Zhao, Dongbin, Wang, Bin, Liu, Derong. A supervised Actor-Critic approach for adaptive cruise control. SOFT COMPUTING[J]. 2013, 17(11): 2089-2099, https://www.webofscience.com/wos/woscc/full-record/WOS:000325822900011.[152] Qian, Dianwei, Zhao, Dongbin, Yi, Jianqiang, Liu, Xiangjie. Neural sliding-mode load frequency controller design of power systems. NEURAL COMPUTING & APPLICATIONS[J]. 2013, 22(2): 279-286, http://www.irgrid.ac.cn/handle/1471x/972971.[153] Alippi, Cesare, Bu, Li, Zhao, Dongbin, IEEE. A Prior-Free Encode-Decode Change Detection Test to Inspect Datastreams for Concept Drift. 2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2013, [154] 赵冬斌, Yuanheng Zhu. Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. 2013, http://ir.ia.ac.cn/handle/173211/15281.[155] Qian, Dianwei, Yi, Jianqiang, Zhao, Dongbin. How to automatically set an initial angle for balance control of a cart-pole system: an education case. INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION[J]. 2013, 50(1): 57-68, https://www.webofscience.com/wos/woscc/full-record/WOS:000327130200005.[156] Zhao, Dongbin, Alippi, Cesare, Liu, Derong, Zhang, Huaguang. Special issue on intelligent control and information processing. SOFT COMPUTINGnull. 2013, 17(11): 1967-1969, https://www.webofscience.com/wos/woscc/full-record/WOS:000325822900001.[157] Ding Wang, Derong Liu, Dongbin Zhao, Yuzhu Huang, Dehua Zhang. A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. NEURAL COMPUTING AND APPLICATIONS,. 2013, 22(2): [158] Zhao, Dongbin, Shen, Yi, Wang, Zhanshan, Hu, Xiaolin. Data-based control, optimization, modeling and applications. NEURAL COMPUTING & APPLICATIONSnull. 2013, 23(7-8): 1839-1842, https://www.webofscience.com/wos/woscc/full-record/WOS:000326889800001.[159] Cesare Alippi, Li Bu, Dongbin Zhao. A prior-free encode-decode change detection test to inspect datastreams for concept drift. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2013, 926-931, http://www.irgrid.ac.cn/handle/1471x/973406.[160] Wang, Ding, Liu, Derong, Zhao, Dongbin, Huang, Yuzhu, Zhang, Dehua. A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. NEURAL COMPUTING & APPLICATIONS[J]. 2013, 22(2): 219-227, https://www.webofscience.com/wos/woscc/full-record/WOS:000313657600004.[161] Wang, Ding, Liu, Derong, Wei, Qinglai, Zhao, Dongbin, Jin, Ning. Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming. AUTOMATICA[J]. 2012, 48(8): 1825-1832, http://dx.doi.org/10.1016/j.automatica.2012.05.049.[162] 王飞跃, 刘德荣, 熊刚, 程长建, 赵冬斌. 复杂系统的平行控制理论及应用. 复杂系统与复杂性科学[J]. 2012, 9(3): 1-12, http://lib.cqvip.com/Qikan/Article/Detail?id=43387808.[163] Yuanheng Zhu, Dongbin Zhao, Haibo He. Integration of fuzzy controller with adaptive dynamic programming. IEEE WORLD CONGRESSON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2012, 310-315, http://www.irgrid.ac.cn/handle/1471x/973407.[164] Dongbin Zhao, 夏中谱. Hybrid feedback control of vehicle longitudinal acceleration. PROCEEDING OF CHINESE CONTROL CONFERENCEnull. 2012, http://ir.ia.ac.cn/handle/173211/11437.[165] Dongbin Zhao. Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2012, 1160-1167, http://ir.ia.ac.cn/handle/173211/5173.[166] Zhang, Huaguang, Alippi, Cesare, Zhao, Dongbin. Data-driven optimal algorithms and their applications to pattern recognition. NEUROCOMPUTINGnull. 2012, 78(1): 1-2, http://dx.doi.org/10.1016/j.neucom.2011.08.013.[167] Zhao, Dongbin, Zhang, Zhen, Dai, Yujie. Self-teaching adaptive dynamic programming for Gomoku. NEUROCOMPUTING[J]. 2012, 78(1): 23-29, http://dx.doi.org/10.1016/j.neucom.2011.05.032.[168] 苏永生, 赵冬斌. 基于OGRE的车辆自适应巡航控制三维仿真. 交通运输系统工程与信息[J]. 2012, 12(2): 47-52,90, http://lib.cqvip.com/Qikan/Article/Detail?id=41747301.[169] Dongbin Zhao. Data-driven learning and control with multiple critic networks. IEEE WORLD CONGRESSON INTELLIGENT CONTROL AND AUTOMATION (WCICA)null. 2012, 523-527, http://ir.ia.ac.cn/handle/173211/5172.[170] Zhao Dongbin, Bu Li, Alippi Cesare. SVM-based just-in-time adaptive classifiers. 2012, http://ir.ia.ac.cn/handle/173211/14330.[171] Liu, Derong, Wang, Ding, Zhao, Dongbin, Wei, Qinglai, Jin, Ning. Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2012, 9(3): 628-634, https://www.webofscience.com/wos/woscc/full-record/WOS:000309841800017.[172] Zhao, Dongbin, Zhu, Yuanheng, He, Haibo. Neural and Fuzzy Dynamic Programming for Under-actuated Systems. INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2012, http://www.irgrid.ac.cn/handle/1471x/973390.[173] Zhao, Dongbin, Dai, Yujie, Zhang, Zhen. Computational Intelligence in Urban Traffic Signal Control: A Survey. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWSnull. 2012, 42(4): 485-494, https://www.webofscience.com/wos/woscc/full-record/WOS:000305584800004.[174] Zhao, Dongbin, Bai, Xuerui, Wang, FeiYue, Xu, Jing, Yu, Wensheng. DHP Method for Ramp Metering of Freeway Traffic. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2011, 12(4): 990-999, http://www.irgrid.ac.cn/handle/1471x/972996.[175] Dianwei Qian, Jianqiang Yi, Dongbin Zhao. Control of Overhead Crane Systems by Combining Sliding Mode with Fuzzy Regulator. IFAC PROCEEDINGS VOLUMES. 2011, 44(1): 9320-9325, http://dx.doi.org/10.3182/20110828-6-IT-1002.01716.[176] Wang Ding, Zhao Dongbin. Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems. SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSC) - IEEE SYMPOSIUM ON ADAPTIVE DYNAMIC PROGRAMMING AND REINFORCEMENT LEARNING (ADPRL)null. 2011, 242-249, http://ir.ia.ac.cn/handle/173211/4984.[177] Zhaohui Hu, Dongbin Zhao. Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards. 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