基本信息
赵冬斌，男、研究员、博导、Fellow IEEE，中国科学院自动化研究所
电子邮件： dongbin.zhao@ia.ac.cn
通信地址： 海淀区中关村东路95号智能化大厦1005
邮政编码： 100190
研究领域
智能学习控制：深度强化学习，自适应动态规划，强化学习，演化计算，智能游戏，自动机器学习
智能交通：智能驾驶，交通信号控制，车路协同
机器人：移动机器人感知与学习控制，机电一体化系统
招生信息
招生专业1：控制理论与控制工程--群体智能与博弈对抗
招生专业2：模式识别--人工智能理论与方法
招生方向
深度强化学习，自适应动态规划，强化学习，智能控制智能驾驶，智能游戏，机器人，智能交通，能源管控神经架构搜索，自动机器学习
教育背景
1996-09--2000-04 哈尔滨工业大学 博士1994-09--1996-07 哈尔滨工业大学 硕士1990-09--1994-07 哈尔滨工业大学 学士
出国学习工作
2007年8月-2008年8月，University of Arizona, 访问学者，国家留学基金委公派留学计划。
工作经历
工作简历
2014-01~2014-02,新加坡科技研究局, 访问学者2012-11~现在, 中科院自动化所, 研究员、博导2002-04~2012-10,中国科学院自动化研究所, 副研、硕导-博导2000-05~2002-01,清华大学, 博士后
社会兼职
2019-12-11-2019-12-16,The 10th International Conference on Intelligent Control and Information Processing (ICICIP 2019), Marrakesh, Morocco, Program Chair
2019-12-06-2019-12-09,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2019), Xiamen, China, Program Chair
2019-07-13-2019-07-18,IEEE International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, Program Co-Chair
2019-05-04-2019-05-06,IEEE International Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr 2019), Shenzhen, China, General Co-Chair
2019-01-01-2019-12-31,IEEE CIS Technical Activities Strategy Planning Sub-Committee, Chair
2018-12-01-2018-12-04,The 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, Dec 1-4, 2018, Tutorial Chair
2018-11-18-2018-11-21,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2018), Bangalore, India, Nov. 18 -21, 2018, Program Chair
2018-09-01-2019-08-31,IEEE Computation Intelligence Magazine special issue on “Deep Reinforcement Learning and Games”., Lead Guest Chair
2018-06-29-2018-07-06,2018 Eighth International Conference on Information Science and Technology (ICIST 2018), Cordoba, Granada, and Seville, Spain during June 30-July 6, 2018, Program Chair
2018-06-01-今,IEEE Transactions on Neural Networks and Learning Systems special issue on “Deep Reinforcement Learning and Adaptive Dynamic Programming”, Lead Guest Editor
2018-03-01-今,IEEE Transactions on Cybernetics, Associate Editor
2017-11-26-2017-11-30,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2017), Honolulu, Hawaii, USA, Program Chair
2017-11-13-2017-11-17,The 24th International Conference on Neural Information Processing (ICONIP 2017), Guangzhou, China, Program Chair
2017-07-05-2017-07-27,2017 IEEE CIS Summer School on Computational and Artificial Intelligence, Chair
2017-01-01-今,IEEE计算智能学会北京分会, 主席
2016-12-05-2016-12-08,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2016), Athens, Greece, Program Chair
2016-07-25-2017-07-29,IEEE World Congress on Computational Intelligence (WCCI 2016), Vancouver, Canada, Publicity Co-chair
2016-06-11-2016-06-14,The 13th World Congress on Intelligent Control and Automation (WCICA 2016), Guilin, China, Program Co-Chair
2015-10-15-2015-10-18,12th International Symposium on Neural Networks (ISNN 2015), Jeju, Korea, Program Co-Chair
2015-04-24-2015-04-26,The 5th International Conference on Information Science and Technology (ICIST 2015), Changsha, China, Program Chair
2015-01-01-今,Artificial Intelligence Review, Associate Editor
2014-12-31-2016-12-31,IEEE计算智能学会自适应动态规划和强化学习技术委员会, 主席
2014-12-31-2015-12-31,IEEE计算智能学会旅行资助委员会, 主席
2014-12-31-2016-12-31,IEEE计算智能学会多媒体委员会, 主席
2014-12-31-2016-12-31,IEEE计算智能学会北京分会, 副主席
2014-12-09-2014-12-12,IEEE Symposiums Series on Computational Intelligence (SSCI 2014), Atlanta, USA, Poster Chair
2014-07-06-2014-07-11,IEEE World Congress on Computational Intelligence (WCCI 2014), Beijing, China, Finance Co-Chair
2014-07-06-2014-07-11,IEEE CIS Summer School on Automated Computational Intelligence, Beijing, China, Chair
2014-01-01-今,IEEE Computational Intelligence Magazine, Associate Editor,
2013-06-09-2013-06-11,The 4th International Conference on Intelligent Control and Information Processing (ICICIP 2013), Beijing, China, Program Chair
2012-12-31-2014-12-30,IEEE CIS Newsletter, Editor,
2012-07-11-2012-07-14,International Symposium on Neural Networks (ISNN 2012), Shenyang, China, Registration Chair
2012-07-11-2012-07-14,Brain Inspired Cognitive Systems (BICS 2012), Shenyang, China, Finance Chair
2012-01-01-今,IEEE Transactions on Neural Networks and Learning Systems, Associate Editor
2011-11-01-今,Cognitive Computation, Associate Editor,
2010-10-01-今,IEEE高级会员,
2019-12-06-2019-12-09,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2019), Xiamen, China, Program Chair
2019-07-13-2019-07-18,IEEE International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, Program Co-Chair
2019-05-04-2019-05-06,IEEE International Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr 2019), Shenzhen, China, General Co-Chair
2019-01-01-2019-12-31,IEEE CIS Technical Activities Strategy Planning Sub-Committee, Chair
2018-12-01-2018-12-04,The 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, Dec 1-4, 2018, Tutorial Chair
2018-11-18-2018-11-21,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2018), Bangalore, India, Nov. 18 -21, 2018, Program Chair
2018-09-01-2019-08-31,IEEE Computation Intelligence Magazine special issue on “Deep Reinforcement Learning and Games”., Lead Guest Chair
2018-06-29-2018-07-06,2018 Eighth International Conference on Information Science and Technology (ICIST 2018), Cordoba, Granada, and Seville, Spain during June 30-July 6, 2018, Program Chair
2018-06-01-今,IEEE Transactions on Neural Networks and Learning Systems special issue on “Deep Reinforcement Learning and Adaptive Dynamic Programming”, Lead Guest Editor
2018-03-01-今,IEEE Transactions on Cybernetics, Associate Editor
2017-11-26-2017-11-30,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2017), Honolulu, Hawaii, USA, Program Chair
2017-11-13-2017-11-17,The 24th International Conference on Neural Information Processing (ICONIP 2017), Guangzhou, China, Program Chair
2017-07-05-2017-07-27,2017 IEEE CIS Summer School on Computational and Artificial Intelligence, Chair
2017-01-01-今,IEEE计算智能学会北京分会, 主席
2016-12-05-2016-12-08,IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2016), Athens, Greece, Program Chair
2016-07-25-2017-07-29,IEEE World Congress on Computational Intelligence (WCCI 2016), Vancouver, Canada, Publicity Co-chair
2016-06-11-2016-06-14,The 13th World Congress on Intelligent Control and Automation (WCICA 2016), Guilin, China, Program Co-Chair
2015-10-15-2015-10-18,12th International Symposium on Neural Networks (ISNN 2015), Jeju, Korea, Program Co-Chair
2015-04-24-2015-04-26,The 5th International Conference on Information Science and Technology (ICIST 2015), Changsha, China, Program Chair
2015-01-01-今,Artificial Intelligence Review, Associate Editor
2014-12-31-2016-12-31,IEEE计算智能学会自适应动态规划和强化学习技术委员会, 主席
2014-12-31-2015-12-31,IEEE计算智能学会旅行资助委员会, 主席
2014-12-31-2016-12-31,IEEE计算智能学会多媒体委员会, 主席
2014-12-31-2016-12-31,IEEE计算智能学会北京分会, 副主席
2014-12-09-2014-12-12,IEEE Symposiums Series on Computational Intelligence (SSCI 2014), Atlanta, USA, Poster Chair
2014-07-06-2014-07-11,IEEE World Congress on Computational Intelligence (WCCI 2014), Beijing, China, Finance Co-Chair
2014-07-06-2014-07-11,IEEE CIS Summer School on Automated Computational Intelligence, Beijing, China, Chair
2014-01-01-今,IEEE Computational Intelligence Magazine, Associate Editor,
2013-06-09-2013-06-11,The 4th International Conference on Intelligent Control and Information Processing (ICICIP 2013), Beijing, China, Program Chair
2012-12-31-2014-12-30,IEEE CIS Newsletter, Editor,
2012-07-11-2012-07-14,International Symposium on Neural Networks (ISNN 2012), Shenyang, China, Registration Chair
2012-07-11-2012-07-14,Brain Inspired Cognitive Systems (BICS 2012), Shenyang, China, Finance Chair
2012-01-01-今,IEEE Transactions on Neural Networks and Learning Systems, Associate Editor
2011-11-01-今,Cognitive Computation, Associate Editor,
2010-10-01-今,IEEE高级会员,
教授课程
强化学习智能控制智能控制理论基础及应用
专利与奖励
奖励信息
（1） 2017年度IEEE Transactions on Cognitive and Developmental Systems优秀论文奖（唯一）, , 其他, 2019（2） IEEE Fellow, , 其他, 2019（3） 《控制理论与应用》优秀编委, , 其他, 2019（4） 中国人工智能学会优秀博士学位论文指导教师, , 部委级, 2019（5） 2019年中国AI+创新创业大赛, 一等奖, 部委级, 2019（6） IJCNN 2018 Best Student Paper Final List, 其他, 2018（7） 《控制理论与应用》优秀论文奖, 其他, 2018（8） 前方车辆距离监测第1名，2017年中国智能车未来挑战赛—复杂交通环境认知基础能力离线测试比赛, 一等奖, 国家级, 2017（9） 前方车辆检测第1名，2017年中国智能车未来挑战赛—复杂交通环境认知基础能力离线测试比赛, 一等奖, 国家级, 2017（10） 基于数据的非线性系统自学习最优控制理论与方法, 三等奖, 部委级, 2015（11） 中国科学院“朱李月华优秀教师”奖, , 院级, 2014（12） 中国石油和化工自动化应用协会科技进步一等奖, 一等奖, 部委级, 2012（13） 北京市科学技术奖, 三等奖, 省级, 2010（14） 中国石油和化学工业协会科技进步三等奖, 三等奖, 部委级, 2009
专利成果
[1] 朱圆恒, 李伟凡, 熊华, 赵冬斌. 一种基于强化学习的导弹制导方法和装置. CN: CN113239472A, 2021-08-10.[2] 朱圆恒, 赵冬斌. 基于加速度前馈的异构车队协同自适应巡航控制方法. CN: CN110888322B, 2021-04-13.[3] 张启超, 王俊杰, 赵冬斌. 智能驾驶横向换道决策方法、系统和装置. CN: CN110304045B, 2020-12-15.[4] 李浩然, 张启超, 赵冬斌. 面向地铁视觉图像的轨道检测方法及系统. CN: CN111611956A, 2020-09-01.[5] 陈亚冉, 赵晓东, 赵冬斌. 面向智能驾驶的移动目标轨迹预测方法、系统、装置. CN: CN111597961A, 2020-08-28.[6] 赵冬斌, 李栋, 张启超, 陈亚冉, 朱圆恒. 智能驾驶车道保持方法及系统. CN: CN109466552B, 2020-07-28.[7] 赵冬斌, 邵坤, 朱圆恒. 基于反事实回报的多智能体深度强化学习方法、系统. CN: CN111105034A, 2020-05-05.[8] 赵冬斌, 张启超, 夏中谱. 驾驶员跟车行为分析中的期望跟车距离计算方法. CN: CN107016193B, 2020-02-14.[9] 陈亚冉, 赵冬斌, 张启超. 基于光流和卡尔曼滤波的多目标追踪方法、系统、装置. CN: CN110415277A, 2019-11-05.[10] 赵冬斌, 卜丽, 朱圆恒, 李相俊. 储能电池充/放电异常行为检测方法及检测系统. CN: CN106154180B, 2019-02-05.[11] 赵冬斌, 陈亚冉. 面向驾驶辅助系统的危险目标检测方法、装置. 中国: CN107609483A, 2018-01-19.[12] 赵冬斌, 张震, 刘德荣. 一种基于稀疏强化学习的传感器网络优化方法. 中国: CN103702349A, 2014-04-02.[13] 赵冬斌, 王滨, 刘德荣. 基于监督式强化学习的最优控制方法. 中国: CN103324085A, 2013-09-25.[14] 赵冬斌, 朱圆恒, 刘德荣. 基于数据的Q函数自适应动态规划方法. 中国: CN103217899A, 2013-07-24.[15] 刘德荣, 魏庆来, 黄玉柱, 赵冬斌. 变换炉的控制方法. 中国: CN102830628A, 2012.12.19.[16] 赵冬斌, 王滨, 刘德荣, 魏庆来, 朱圆恒, 苏永生. 煤气化炉的控制方法. 中国: CN102799748A, 2012-11-28.[17] 赵冬斌, 朱圆恒. 模糊自适应动态规划方法. 中国: CN102645894A, 2012-08-22.[18] 赵冬斌. 车辆自适应巡航控制系统及方法. 中国: CN102109821A, 2011-06-29.[19] 赵冬斌, 李涛, 易建强. 街区路口交通信号优化控制方法. 中国: CN101789178A, 2010-07-28.[20] 赵冬斌, 李涛, 易建强, 张建宏. 单配重式自动水平调节吊具及使用方法. 中国: CN101759092A, 2010-06-30.[21] 易建强, 余 意, 赵冬斌, 张建宏. 绳索牵引自动水平调节吊具及方法. 中国: CN101633478, 2010-01-27.[22] 易建强, 项炎平, 赵冬斌. 一种双旋配重式自动水平调节吊具系统及控制方法. 中国: CN101468776, 2009-07-01.[23] 赵冬斌, 徐 冬, 易建强, 张小成. 一种极坐标方式水平自动调节吊具及方法. 中国: CN101450767, 2009-06-10.[24] 易建强, 赵冬斌, 程 金. 一种航迹自动舵控制系统及其方法. 中国: CN100494898, 2009-06-03.[25] 易建强, 赵冬斌, 程 金. 一种自动舵航向控制系统及其方法. 中国: CN100491915, 2009-05-27.[26] 易建强, 项炎平, 赵冬斌. 一种自动化立体仓库框架结构. 中国: CN101407271, 2009-04-15.[27] 谭湘敏, 易建强, 赵冬斌. 一种移动机器人的位姿传感系统及其方法. 中国: CN100478142, 2009-04-15.[28] 易建强, 张小成, 赵冬斌, 徐 冬. 一种正交式水平自动调节吊具及方法. 中国: CN101397114, 2009-04-01.[29] 易建强, 赵冬斌. 线材自动点数机. 中国: CN100465073, 2009-03-04.[30] 刘伟荣, 易建强, 赵冬斌. 一种应用于互联网的网络拥塞控制系统及方法. 中国: CN101166140, 2008.04.23.[31] 易建强, 钟志光, 赵冬斌. 一种结合传感技术的射频卡门禁系统. 中国: CN100444186, 2008-12-17.[32] 赵冬斌, 易建强. 桌上曲棍球机器人系统. 中国: CN100389845, 2008-05-28.[33] 易建强, 洪义平, 赵冬斌. 鲁棒的自然图像分割方法. 中国: CN100378752, 2008-04-02.[34] 易建强, 赵冬斌, 李新春, 邓旭玥, 李佳宁. 一种移动机械手控制系统. 中国: CN100361792, 2008-01-16.[35] 赵冬斌, 易建强. 火灾救援机器人系统及其方法. 中国: CN1994495, 2007-07-11.[36] 赵冬斌, 易建强. 火灾抢险机器人系统及其方法. 中国: CN1978004, 2007-06-13.[37] 赵冬斌, 易建强, 宋佐时, 邓旭玥. 移动机械手系统. 中国: CN1319702, 2007-06-06.[38] 易建强, 洪义平, 赵冬斌. 门牌号自动识别系统及方法. 中国: CN1316418, 2007-05-16.[39] 赵冬斌, 易建强. 火灾救援机器人系统. 中国: CN2889642, 2007-04-18.[40] 易建强, 钟志光, 赵冬斌. 一种基于射频技术的病理监测系统. 中国: CN1853556, 2006.11.01.[41] 易建强, 洪义平, 赵冬斌. 机器人视觉导航中的自然目标检测方法. 中国: CN1873656, 2006-12-06.[42] 赵冬斌, 易建强. 转球式洗衣机及方法. 中国: CN1869315, 2006-11-29.[43] 易建强, 赵冬斌. 线材自动点数机. 中国: CN2743236, 2005.11.30.[44] 易建强, 赵冬斌, 李新春, 邓旭玥, 李佳宁. 一种移动机械手控制系统. 中国: CN2747031, 2005-12-21.[45] 易建强, 洪义平, 赵冬斌. 一种实时IC卡数字字符识别与校验系统及方法. 中国: CN1684097, 2005-10-19.[46] 钟志光, 易建强, 赵冬斌. 多用途指纹识别保存柜系统. 中国: CN1614621, 2005-05-11.[47] 易建强, 刘殿通, 赵冬斌. 吊车全自动控制系统. 中国: CN1613747, 2005-05-11.[48] 易建强, 刘殿通, 赵冬斌. 吊车半自动控制系统. 中国: CN1613746, 2005-05-11.[49] 钟志光, 易建强, 赵冬斌. 含指纹识别钥匙柜的网络指纹门禁系统. 中国: CN1612150, 2005-05-04.[50] 易建强, 钟志光, 赵冬斌. 银行保管箱系统. 中国: CN1570340, 2005-01-26.[51] 易建强, 刘殿通, 赵冬斌. 吊车全自动控制系统. 中国: CN2663387, 2004-12-15.[52] 易建强, 刘殿通, 赵冬斌. 吊车半自动控制系统. 中国: CN2659859, 2004-12-01.[53] 赵冬斌, 易建强. 桌上曲棍球机器人系统. 中国: CN2649274, 2004-10-20.[54] 赵冬斌, 易建强, 宋佐时, 邓旭玥. 移动机械手系统. 中国: CN2645862, 2004-10-06.
出版信息
发表论文
[1] 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.[2] Li, Nannan, Pan, Yu, Chen, Yaran, Ding, Zixiang, Zhao, Dongbin, Xu, Zenglin. Heuristic rank selection with progressively searching tensor ring network. COMPLEX & INTELLIGENT SYSTEMS. 2021, http://dx.doi.org/10.1007/s40747-021-00308-x.[3] 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.[4] 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.[5] 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.[6] 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.[7] Zhao Dongbin. A spatial-temporal LSTM model for human trajectory prediction. IEEE/CAA Journal of Automation Sinica. 2020, [8] 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.[9] 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, http://dx.doi.org/10.1016/j.csbj.2020.04.002.[10] 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.[11] 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.[12] 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, [13] 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, [14] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000578826300003.[15] Zhao Dongbin. Advances in Deep Neural Information Processing - Editorial. Neurocomputing. 2020, [16] Zhao, Dongbin, Duan, Shukai, Yan, Zheng, Alippi, Cesare. Advances in deep neural information processing. NEUROCOMPUTINGnull. 2020, 408: 80-81, http://dx.doi.org/10.1016/j.neucom.2020.01.001.[17] Zhao Dongbin. Adaptive optimal control of cooperative adaptive cruise control with uncertain heterogeneous vehicles. IEEE Control System Technology. 2019, [18] 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, [19] 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.[20] 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.[21] 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.[22] 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, [23] 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, [24] 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.[25] 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, [26] 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.[27] 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.[28] 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.[29] 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.[30] 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, [31] 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, [32] 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.[33] 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.[34] 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.[35] 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.[36] 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.[37] 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.[38] 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 SYSTEMSnull. 2018, 29(6): 2038-2041, https://www.webofscience.com/wos/woscc/full-record/WOS:000432398300001.[39] 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.[40] 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.[41] 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.[42] 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, [43] 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.[44] 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, [45] 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, [46] 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.[47] 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.[48] Zhao Dongbin. Comprehesive comparison of online ADP algorithms for continuous-time optimal control. Artificial Intelligence Review. 2018, [49] 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.[50] 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, [51] 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.[52] 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.[53] 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.[54] 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.[55] 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, [56] 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.[57] 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.[58] 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.[59] 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, [60] 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.[61] 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, [62] 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.[63] Tang Zhentao, Lv Le, Shao Kun, Zhao Dongbin. ADP with MCTS algorithm for Gomoku. 2017, http://ir.ia.ac.cn/handle/173211/14475.[64] 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.[65] 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.[66] 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.[67] 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, [68] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000399714900005.[69] 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.[70] 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, [71] Shengli Xie, Derong Liu, Dongbin Zhao, ElSayed M ElAlfy, Yuanqing Li. Neural Information Processing. Neural Information Processing, Lecture Notes in Computer Sciencenull. 2017, 10636, 10637, 10638, 10639,-, http://ir.ia.ac.cn/handle/173211/19892.[72] Zhao Dongbin, Zhang Qichao. Data-driven adaptive dynamic programming for two-player nonzero-sum game. 2017, http://ir.ia.ac.cn/handle/173211/14342.[73] 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, [74] 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.[75] 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.[76] 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.[77] 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, [78] 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.[79] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000386076600013.[80] 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, [81] 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.[82] 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, [83] 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, [84] Zhao Dongbin, Alippi Cesare, Bu Li. Ensemble LSDD-based change detection tests. 2016, http://ir.ia.ac.cn/handle/173211/14332.[85] 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. 2016, 33(12): 1553-1554, http://lib.cqvip.com/Qikan/Article/Detail?id=7000119650.[86] 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, [87] 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.[88] 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.[89] ZhuYuanheng, ShaoKun, WangHaitao, 赵冬斌. Deep reinforcement learning with Experience Replay based on SARSA. 2016, http://ir.ia.ac.cn/handle/173211/19877.[90] 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.[91] 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.[92] 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. 2016, 33(12): 1603-1613, http://lib.cqvip.com/Qikan/Article/Detail?id=7000119656.[93] 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.[94] 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.[95] 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.[96] 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.[97] 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, [98] 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.[99] Squartini, Stefano, Liu, Derong, Piazza, Francesco, Zhao, Dongbin, He, Haibo. Computational Energy Management in Smart Grids. NEUROCOMPUTINGnull. 2015, 170: 267-269, http://dx.doi.org/10.1016/j.neucom.2015.05.110.[100] 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null. 2015, http://ir.ia.ac.cn/handle/173211/19889.
发表著作
（1） 全方位移动机器人导论, An introduction to Omnidirectinoal Mobile Robots, 科学出版社, 2010-05, 第 1 作者（2） 机器人手册，第26章-面向操作任务的运动, Springer Handbook of Robotics, Chapter 26 - Motion for Manipulation Tasks, 机械工业出版社, 2013-01, 第 1 作者（3） 机器人手册，第51章-智能车辆, Springer Handbook of Robotics, Chapter 51 - Intelligent Vehicles, 机械工业出版社, 2013-01, 第 1 作者（4） Advances in Brain Inspired Cognitive Systems, Advances in Brain Inspired Cognitive Systems, Springer Heidelberg Dordrecht London NewYork, 2013-06, 第 3 作者（5） Frontiers of Intelligent Control and Information Processing, Frontiers of Intelligent Control and Information Processing, World Scientific Publishing, 2014-11, 第 3 作者（6） Advances in Neural Networks – ISNN 2015, Springer Heidelberg Dordrecht London NewYork, 2015-04, 第 4 作者（7） Neural Information Processing, Lecture Notes in Computer Science 10636, 10637, 10638, 10639, Springer Heidelberg Dordrecht London NewYork, 2017-10, 第 4 作者
科研活动
科研项目
（ 1 ） 基于数据的非线性控制系统分析与设计, 参与, 国家级, 2011-01--2014-12（ 2 ） 汽车的智慧起停巡航控制, 主持, 省级, 2012-01--2014-12（ 3 ） 基于监督式ADP 的汽车智能巡航控制, 主持, 国家级, 2013-01--2016-12（ 4 ） 能源管控中心平行控制节能技术研究, 参与, 省级, 2013-04--2014-12（ 5 ） 建筑能耗数据挖掘与分析工具包开发, 参与, 省级, 2013-12--2014-12（ 6 ） 汽车自适应巡航控制(ACC)系统及方法, 主持, 省级, 2013-09--2016-05（ 7 ） 人机交互的监督强化学习控制理论和方法, 主持, 研究所（学校）, 2015-01--2016-12（ 8 ） 深度自适应动态规划理论方法和应用, 主持, 国家级, 2016-01--2019-12（ 9 ） 基于数据的建筑群及分布式能源系统一体化建模与自学习优化控制, 参与, 国家级, 2016-01--2020-12（ 10 ） 中国科学院海外评审专家（何海波）, 主持, 部委级, 2015-01--2016-12（ 11 ） 智能辅助驾驶控制系统关键技术研究与产品开发, 主持, 国家级, 2016-07--2019-06（ 12 ） 不完全信息动态博弈的优化决策, 主持, 国家级, 2017-03--2018-12（ 13 ） 深度神经网络优化的群体协作神经动力学方法, 主持, 部委级, 2018-01--2020-12（ 14 ） 智能驾驶危险目标检测的深度强化学习方法, 主持, 省级, 2018-01--2019-12（ 15 ） 高度自动驾驶（L4级）电动汽车关键技术研发及验证平台开发--深度强化学习应用, 主持, 省级, 2018-01--2019-12（ 16 ） “气虚证辨证标准的系统研究”的中医证候辨证新方法研究--中医AI, 主持, 国家级, 2018-01--2020-12（ 17 ） 基于人工智能的智能驾驶体验科普展品, 主持, 省级, 2018-01--2018-12（ 18 ） 强化学习技术和硬件化技术研究, 主持, 院级, 2018-09--2019-06（ 19 ） 面向智能驾驶的深度强化学习方法研究, 主持, 院级, 2018-09--2019-08（ 20 ） 面向地铁运营场景需求的智能感知核心技术研究, 主持, 院级, 2018-09--2019-08（ 21 ） 非完全信息条件下的博弈决策--知识与数据共同驱动的深度强化学习算法, 主持, 国家级, 2020-01--2022-12（ 22 ） 复杂城市交互场景下的电动汽车智能决策技术, 主持, 省级, 2019-07--2020-06（ 23 ） 适配硬件的算子结构优化及自动并行切分技术研究, 主持, 院级, 2019-08--2020-05
参与会议
（1）Deep Reinforcement Learning for Video Game 华为多智能体强化学习研讨会 2019-04-25（2）深度强化学习算法与医疗应用 中国中医药信息研究会临床研究分会第三届学术年会 2018-09-08（3）深度强化学习算法与应用 中国自动化学会“深度与宽度强化学习”前沿论坛 2018-05-30（4）Game AI with RL and DL 2018-05-21（5）深度强化学习进展：从AlphaGo到AlphaGo Zero 第二届世界智能大会 2018-05-17（6）Game AIs with RL and DL 2018-05-16（7）Recent Progress on Deep Reinforcement Learning-- from AlphaGo to AlphaGo Zero 三星机器学习前沿研讨会 2018-01-15（8）深度强化学习算法及应用 中国电力科学研究院2017年二 零八科学会议—人工智能在电力领域的研究应用方向和关键技术 2017-12-06（9）Cooperative reinforcement learning for multiple units combat in StarCraft Kun Shao, Yuanheng Zhu, Dongbin Zhao 2017-11-28（10）Event-triggered integral reinforcement learning for nonlinear continuous-time systems Qichao Zhang, Dongbin Zhao 2017-11-28（11）深度强化学习进展—从AlphaGo到AlphaGo Zero 中国仿真学会智能物联专委会会议 2017-11-17（12）Off-Policy reinforcement learning for partially unknown nonzero-sum games 2017-11-16（13）FMR-GA -- A cooperative multi-agent reinformcement learning algorithm based on gradient ascent 2017-11-16（14）人工智能方法及其在智慧城市中的应用 泰山科技论坛—人工智能在智慧城市建设中的应用研究 2017-11-08（15）A Kolmogorov-Smirnov test to detect changes in stationarity in big data 2017-07-06（16）Multi-task learning with Cartesian product-based multi-objective combination for dangerous object detection 2017-06-10（17）Data-driven adaptive dynamic programming for two-player nonzero-sum game 2017-05-29（18）Comparison of methods to efficient graph SLAM under general optimization framework 2017-05-19（19）Policy gradient methods with gaussian process modelling acceleration 2017-05-16
指导学生
已指导学生
田艺 硕士研究生 081101-控制理论与控制工程
胡朝辉 硕士研究生 081101-控制理论与控制工程
戴钰桀 博士研究生 081101-控制理论与控制工程
苏永生 硕士研究生 081101-控制理论与控制工程
张震 博士研究生 081101-控制理论与控制工程
王滨 博士研究生 081101-控制理论与控制工程
朱圆恒 博士研究生 081101-控制理论与控制工程
王海涛 硕士研究生 081101-控制理论与控制工程
夏中谱 博士研究生 081101-控制理论与控制工程
张启超 博士研究生 081101-控制理论与控制工程
吕乐 博士研究生 081101-控制理论与控制工程
卜丽 博士研究生 081101-控制理论与控制工程
陈亚冉 博士研究生 081101-控制理论与控制工程
邵坤 博士研究生 081101-控制理论与控制工程
李栋 博士研究生 081101-控制理论与控制工程
现指导学生
唐振韬 博士研究生 081101-控制理论与控制工程
卢毅 博士研究生 081101-控制理论与控制工程
李浩然 博士研究生 081101-控制理论与控制工程
刘民颂 硕士研究生 081101-控制理论与控制工程
丁子祥 博士研究生 081203-计算机应用技术
刘育琦 博士研究生 081101-控制理论与控制工程
李伟凡 博士研究生 081104-模式识别与智能系统
胡光政 博士研究生 081203-计算机应用技术
李楠楠 博士研究生 081101-控制理论与控制工程
王俊杰 博士研究生 081101-控制理论与控制工程