发表论文
[1] 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, [2] 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.[3] 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.[4] 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.[5] 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[J]. 2022, 39(6): 969-985, http://lib.cqvip.com/Qikan/Article/Detail?id=7107639444.[6] 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.[7] 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.[8] 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.[9] 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.[10] 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.[11] Li, Weifan, Zhu, Yuanheng, Zhao, Dongbin. Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. COMPLEXINTELLIGENTSYSTEMS[J]. 2021, 12-, [12] 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.[13] 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.[14] 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.[15] 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.[16] 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.[17] Zhao Dongbin. A spatial-temporal LSTM model for human trajectory prediction. IEEE/CAA Journal of Automation Sinica. 2020, [18] 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.[19] 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. COMPUTATIONALANDSTRUCTURALBIOTECHNOLOGYJOURNAL[J]. 2020, 18: 973-980, http://dx.doi.org/10.1016/j.csbj.2020.04.002.[20] 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.[21] 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.[22] 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, [23] 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, [24] 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.[25] Zhao Dongbin. Advances in Deep Neural Information Processing - Editorial. Neurocomputing. 2020, [26] 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.[27] 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, [28] Zhao Dongbin. Adaptive optimal control of cooperative adaptive cruise control with uncertain heterogeneous vehicles. IEEE Control System Technology. 2019, [29] 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.[30] 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.[31] 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.[32] 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, [33] 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, [34] 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, [35] 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.[36] 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.[37] 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.[38] 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.[39] 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.[40] 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, [41] 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, [42] 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.[43] 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.[44] 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.[45] 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.[46] 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.[47] 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.[48] 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.[49] 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.[50] 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.[51] 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.[52] 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, [53] 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.[54] 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, [55] 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, [56] 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.[57] 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.[58] 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.[59] Zhao Dongbin. Comprehesive comparison of online ADP algorithms for continuous-time optimal control. Artificial Intelligence Review. 2018, [60] 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, [61] 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.[62] 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.[63] 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.[64] 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.[65] 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, [66] 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.[67] 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.[68] 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.[69] 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.[70] 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, [71] 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, [72] 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.[73] Tang Zhentao, Lv Le, Shao Kun, Zhao Dongbin. ADP with MCTS algorithm for Gomoku. 2017, http://ir.ia.ac.cn/handle/173211/14475.[74] 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.[75] 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.[76] 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.[77] 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, [78] 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.[79] 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.[80] 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, [81] Zhao Dongbin, Zhang Qichao. Data-driven adaptive dynamic programming for two-player nonzero-sum game. 2017, http://ir.ia.ac.cn/handle/173211/14342.[82] 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.[83] 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, [84] 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.[85] 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.[86] 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, [87] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000401950400002.[88] 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.[89] 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.[90] 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, [91] 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.[92] 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, [93] Zhao Dongbin, Alippi Cesare, Bu Li. Ensemble LSDD-based change detection tests. 2016, http://ir.ia.ac.cn/handle/173211/14332.[94] 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, [95] 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.[96] 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.[97] 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.[98] 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, [99] ZhuYuanheng, ShaoKun, WangHaitao, 赵冬斌. Deep reinforcement learning with Experience Replay based on SARSA. 2016, http://ir.ia.ac.cn/handle/173211/19877.[100] 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.[101] 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.[102] 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, [103] 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.[104] 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.[105] 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.[106] 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.[107] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000351834400016.[108] 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, [109] 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.[110] 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.[111] 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.[112] 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.[113] 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.[114] 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.[115] 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, [116] 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.[117] 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.[118] 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.[119] 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.[120] 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.[121] 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, [122] 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.[123] 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.[124] 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, [125] 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.[126] 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, [127] 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.[128] 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.[129] 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.[130] 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.[131] 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.[132] 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.[133] 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.[134] 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.[135] 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.[136] 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.[137] Zhao Dongbin, Fan Zhijiang, Lv Le. Cheating Behavior Detection based-on Pictorial Structure Model. 2014, http://ir.ia.ac.cn/handle/173211/14473.[138] 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, [139] 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.[140] 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.[141] 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.[142] 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.[143] 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, [144] 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.[145] 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): [146] 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.[147] 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.[148] 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.[149] 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.[150] 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.[151] 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.[152] 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.[153] 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.[154] 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.[155] 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.[156] 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.[157] 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.[158] Zhao Dongbin, Bu Li, Alippi Cesare. SVM-based just-in-time adaptive classifiers. 2012, http://ir.ia.ac.cn/handle/173211/14330.[159] 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.[160] 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.[161] 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.[162] 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.[163] 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.[164] 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.[165] Zhaohui Hu, Dongbin Zhao. Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS[J]. 2011, 15(3): 351-356, [166] Zhao Dongbin, Zhu Fenghua. Neural network based online traffic signal controller design with reinforcement training. IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)null. 2011, 1045-1050, http://ir.ia.ac.cn/handle/173211/5017.[167] 谭湘敏, 易建强, 赵冬斌, 郝银星. 高超声速飞行器轨迹跟踪控制仿真研究. 系统仿真学报[J]. 2011, 23(4): 745-749, http://lib.cqvip.com/Qikan/Article/Detail?id=37228093.[168] Chai, Tianyou, Hou, Zhongsheng, Lewis, Frank L, Hussain, Amir, Zhao, Dongbin. Special Section on Data-Based Control, Modeling, and Optimization. IEEE TRANSACTIONS ON NEURAL NETWORKS. 2011, 22(12): 2150-2153, http://ir.ia.ac.cn/handle/173211/9737.[169] Zhao Dongbin. Supervised adaptive dynamic programming based adaptive cruise control. SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSC) - IEEE SYMPOSIUM ON ADAPTIVE DYNAMIC PROGRAMMING AND REINFORCEMENT LEARNING (ADPRL)null. 2011, 318-323, http://ir.ia.ac.cn/handle/173211/5035.[170] Zhao Dongbin. DHP for coordinated freeway ramp metering. IEEE Transactions on Intelligent Transportation Systems. 2011, [171] Zhao Dongbin. Reinforcement learning for multi-agent patrol policy. IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS (ICCI)null. 2010, 530-535, http://ir.ia.ac.cn/handle/173211/5030.[172] Li Chengdong, Yi Jianqiang, Yu Yi, Zhao Dongbin. Inverse Control of Cable-driven Parallel Mechanism Using Type-2 Fuzzy Neural Network. 自动化学报[J]. 2010, 459-464, http://lib.cqvip.com/Qikan/Article/Detail?id=33164216.[173] Zhao Dongbin. A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming. INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)null. 2010, 255-260, http://ir.ia.ac.cn/handle/173211/4980.[174] Zhao DongBin, Yi JianQiang. Inverse control of cable-driven parallel mechanism using type-2 fuzzy neural network. ZIDONGHUA XUEBAO/ ACTA AUTOMATICA SINICA[J]. 2010, 36(3): 459-464, http://ir.ia.ac.cn/handle/173211/4133.[175] Xu, Dong, Zhao, Dongbin, Yi, Jianqiang, Tan, Xiangmin. Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS[J]. 2009, 39(3): 788-799, http://www.irgrid.ac.cn/handle/1471x/973030.[176] Zhao Dongbin. Coordinated control of multiple ramps metering based on ADHDP (λ) Controller. International Journal of Innovative Computing, Information and Control. 2009, [177] Li, Chengdong, Yi, Jianqiang, Zhao, Dongbin. Design of interval type-2 fuzzy logic system using sampled data and priorknowledge. 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