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2020 – today
- 2023
[i33]Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao:
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. CoRR abs/2302.01334 (2023)- [i32]Haoran Li, Shasha Liu, Mingjun Ma, Guangzheng Hu, Yaran Chen, Dongbin Zhao:
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning. CoRR abs/2302.03385 (2023) - [i31]Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao:
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. CoRR abs/2302.05614 (2023) - 2022
- [j78]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. IEEE CAA J. Autom. Sinica 9(3): 567-569 (2022) - [j77]Haoran Li, Yaran Chen, Qichao Zhang
, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Trans. Cybern. 52(9): 8617-8628 (2022) - [j76]Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao:
ModuleNet: Knowledge-Inherited Neural Architecture Search. IEEE Trans. Cybern. 52(11): 11661-11671 (2022) - [j75]Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao:
TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(12): 24474-24487 (2022) - [j74]Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao:
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. IEEE Trans. Neural Networks Learn. Syst. 33(2): 762-773 (2022) - [j73]Yuanheng Zhu, Dongbin Zhao:
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1228-1241 (2022) - [j72]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen:
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE Trans. Neural Networks Learn. Syst. 33(9): 5004-5018 (2022) - [j71]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6259-6272 (2022) - [c126]Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao:
LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG 2022: 49-55 - [c125]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. DMBD (1) 2022: 305-319 - [c124]Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao:
Neurons Perception Dataset for RoboMaster AI Challenge. IJCNN 2022: 1-8 - [c123]Xing Fang, Qichao Zhang, Yinfeng Gao, Dongbin Zhao:
Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. ITSC 2022: 3417-3422 - [i30]Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao:
BViT: Broad Attention based Vision Transformer. CoRR abs/2202.06268 (2022) - [i29]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. CoRR abs/2202.09644 (2022) - [i28]Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding:
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR abs/2203.14477 (2022) - [i27]Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao:
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving. CoRR abs/2203.16792 (2022) - [i26]Jiajun Chai, Yuanheng Zhu, Dongbin Zhao:
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR abs/2207.00964 (2022) - [i25]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. CoRR abs/2210.15449 (2022) - [i24]Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao:
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR abs/2211.12774 (2022) - [i23]Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao:
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. CoRR abs/2212.03830 (2022) - 2021
- [j70]Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li:
MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. Neurocomputing 421: 140-150 (2021) - [j69]Yi Lu, Yaran Chen, Dongbin Zhao, Bao Liu, Zhichao Lai, Jianxin Chen:
CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. IEEE Trans. Cogn. Dev. Syst. 13(3): 631-644 (2021) - [j68]Yuanheng Zhu, Dongbin Zhao, Haibo He:
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE Trans Autom. Sci. Eng. 18(3): 1097-1108 (2021) - [c122]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. ICRAI 2021: 26-32 - [c121]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. SSCI 2021: 1-8 - [i22]Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Dongbin Zhao:
MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. CoRR abs/2109.10473 (2021) - [i21]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. CoRR abs/2109.10490 (2021) - [i20]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. CoRR abs/2109.10557 (2021) - [i19]Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao:
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. CoRR abs/2110.03858 (2021) - [i18]Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li:
Empirical Policy Optimization for n-Player Markov Games. CoRR abs/2110.08979 (2021) - [i17]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. CoRR abs/2111.07722 (2021) - 2020
- [j67]Xiaodong Zhao, Yaran Chen, Jin Guo, Dongbin Zhao:
A spatial-temporal attention model for human trajectory prediction. IEEE CAA J. Autom. Sinica 7(4): 965-974 (2020) - [j66]Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi:
Advances in deep neural information processing. Neurocomputing 408: 80-81 (2020) - [j65]Chaoxu Mu, Ke Wang, Qichao Zhang, Dongbin Zhao:
Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. Inf. Sci. 517: 1-17 (2020) - [j64]Yuanheng Zhu, Haibo He, Dongbin Zhao:
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 21(11): 4516-4525 (2020) - [j63]Haoran Li, Qichao Zhang, Dongbin Zhao:
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2064-2076 (2020) - [j62]Yuanheng Zhu, Dongbin Zhao, Haibo He:
Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 3959-3971 (2020) - [j61]Yuanheng Zhu, Dongbin Zhao, Haibo He:
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE Trans. Veh. Technol. 69(4): 3615-3627 (2020) - [c120]Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao:
Shift-Invariant Convolutional Network Search. IJCNN 2020: 1-7 - [c119]Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen:
RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN 2020: 1-7 - [c118]Minsong Liu, Yuanheng Zhu, Dongbin Zhao:
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. IJCNN 2020: 1-7 - [c117]Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao:
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN 2020: 1-8 - [c116]Jiasen Wang, Jun Wang, Dongbin Zhao:
Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization. ISNN 2020: 96-105 - [c115]Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang:
ContourRend: A Segmentation Method for Improving Contours by Rendering. ISNN 2020: 251-260 - [c114]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. SSCI 2020: 1478-1484 - [i16]Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
Graph-FCN for image semantic segmentation. CoRR abs/2001.00335 (2020) - [i15]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen:
Efficient Neural Architecture Search: A Broad Version. CoRR abs/2001.06679 (2020) - [i14]Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas:
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. CoRR abs/2003.13949 (2020) - [i13]Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao:
ModuleNet: Knowledge-inherited Neural Architecture Search. CoRR abs/2004.05020 (2020) - [i12]Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR abs/2004.08582 (2020) - [i11]Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang:
ContourRend: A Segmentation Method for Improving Contours by Rendering. CoRR abs/2007.07437 (2020) - [i10]Haoran Li, Qichao Zhang, Dongbin Zhao:
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. CoRR abs/2007.11808 (2020) - [i9]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. CoRR abs/2009.08886 (2020) - [i8]Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR abs/2009.09593 (2020) - [i7]Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu:
Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR abs/2009.10580 (2020) - [i6]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR abs/2010.04978 (2020)
2010 – 2019
- 2019
- [j60]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. IEEE Comput. Intell. Mag. 14(2): 83-98 (2019) - [j59]Dongbin Zhao, Simon M. Lucas, Julian Togelius:
Deep Reinforcement Learning and Games [Guest Editorial]. IEEE Comput. Intell. Mag. 14(3): 7 (2019) - [j58]Bin Wang, Dongbin Zhao, Jin Cheng:
Adaptive cruise control via adaptive dynamic programming with experience replay. Soft Comput. 23(12): 4131-4144 (2019) - [j57]Le Lv, Dongbin Zhao, Kun Shao:
Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. Soft Comput. 23(18): 8711-8722 (2019) - [j56]Yuanheng Zhu, Dongbin Zhao, Zhiguang Zhong:
Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. IEEE Trans. Control. Syst. Technol. 27(4): 1772-1779 (2019) - [j55]Qichao Zhang, Dongbin Zhao:
Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. IEEE Trans. Cybern. 49(8): 2874-2885 (2019) - [j54]Kun Shao, Yuanheng Zhu, Dongbin Zhao:
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 73-84 (2019) - [j53]Yuanheng Zhu, Dongbin Zhao, Xiangjun Li, Ding Wang:
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. IEEE Trans. Smart Grid 10(4): 4235-4244 (2019) - [c113]Le Lv, Jianbo Cheng, Nanbo Peng, Min Fan, Dongbin Zhao, Jianhong Zhang:
Auto-encoder based Graph Convolutional Networks for Online Financial Anti-fraud. CIFEr 2019: 1-6 - [c112]Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. IJCNN 2019: 1-6 - [c111]Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian:
Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. IJCNN 2019: 1-7 - [c110]Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou:
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. IJCNN 2019: 1-8 - [c109]Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng:
Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL 2019: 158-168 - [c108]Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
Graph-FCN for Image Semantic Segmentation. ISNN (1) 2019: 97-105 - [c107]Yaran Chen, Dongbin Zhao, Haoran Li:
Deep Kalman Filter with Optical Flow for Multiple Object Tracking. SMC 2019: 3036-3041 - [c106]Dong Li, Dongbin Zhao, Qichao Zhang:
Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. SSCI 2019: 16-21 - [c105]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Simplified Space Based Neural Architecture Search. SSCI 2019: 43-49 - [c104]Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. SSCI 2019: 57-63 - [i5]Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. CoRR abs/1904.00231 (2019) - [i4]Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang:
Graph Attention Memory for Visual Navigation. CoRR abs/1905.13315 (2019) - [i3]Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao:
A Survey of Deep Reinforcement Learning in Video Games. CoRR abs/1912.10944 (2019) - 2018
- [j52]Zhen Zhang, Dongqing Wang, Dongbin Zhao, Qiaoni Han, Tingting Song:
A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents. IEEE Access 6: 70223-70235 (2018) - [j51]Yuanheng Zhu, Dongbin Zhao:
Comprehensive comparison of online ADP algorithms for continuous-time optimal control. Artif. Intell. Rev. 49(4): 531-547 (2018) - [j50]Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang:
Multi-task learning for dangerous object detection in autonomous driving. Inf. Sci. 432: 559-571 (2018) - [j49]Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang:
Policy Iteration for H∞ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. IEEE Trans. Cybern. 48(2): 500-509 (2018) - [j48]Qichao Zhang, Dongbin Zhao, Ding Wang:
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(1): 37-50 (2018) - [j47]Li Bu, Cesare Alippi, Dongbin Zhao:
A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE Trans. Neural Networks Learn. Syst. 29(2): 324-334 (2018) - [j46]Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini:
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2038-2041 (2018) - [c103]Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu:
Learning Battles in ViZDoom via Deep Reinforcement Learning. CIG 2018: 1-4 - [c102]Haoran Li, Dongbin Zhao, Yaran Chen, Qichao Zhang:
An Efficient Network for Lane Segmentation. ICCSIP (1) 2018: 177-185 - [c101]Qichao Zhang, Dongbin Zhao:
Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems. ICONIP (7) 2018: 200-208 - [c100]Yuanheng Zhu, Dongbin Zhao:
Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator. ICONIP (3) 2018: 326-334 - [c99]Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo:
A temporal-based deep learning method for multiple objects detection in autonomous driving. IJCNN 2018: 1-6 - [c98]Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang:
DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN 2018: 1-6 - [c97]Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang:
Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN 2018: 1-6 - [c96]Qichao Zhang, Dongbin Zhao, Frank L. Lewis:
Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. IJCNN 2018: 1-6 - [c95]Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang:
A Review of Computational Intelligence for StarCraft AI. SSCI 2018: 1167-1173 - [c94]Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu:
An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI 2018: 1174-1179 - [i2]Kun Shao, Yuanheng Zhu, Dongbin Zhao:
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning. CoRR abs/1804.00810 (2018) - [i1]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR abs/1810.12778 (2018) - 2017
- [j45]Dongbin Zhao, Zhongpu Xia, Qichao Zhang:
Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]. IEEE Comput. Intell. Mag. 12(2): 56-69 (2017) - [j44]Le Lv, Dongbin Zhao, Qingqiong Deng:
A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning. Cogn. Comput. 9(1): 115-124 (2017) - [j43]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu:
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing 238: 377-386 (2017) - [j42]Dongbin Zhao, Yaran Chen, Le Lv:
Deep Reinforcement Learning With Visual Attention for Vehicle Classification. IEEE Trans. Cogn. Dev. Syst. 9(4): 356-367 (2017) - [j41]Zhen Zhang, Dongbin Zhao, Junwei Gao, Dongqing Wang, Yujie Dai:
FMRQ - A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks. IEEE Trans. Cybern. 47(6): 1367-1379 (2017) - [j40]Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji:
Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. IEEE Trans. Ind. Electron. 64(5): 4101-4109 (2017) - [j39]Yong-Duan Song, Frank L. Lewis, Marios M. Polycarpou, Danil V. Prokhorov, Dongbin Zhao:
Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control. IEEE Trans. Neural Networks Learn. Syst. 28(3): 494-499 (2017) - [j38]Yuanheng Zhu, Dongbin Zhao, Xiangjun Li:
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. IEEE Trans. Neural Networks Learn. Syst. 28(3): 714-725 (2017) - [j37]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu:
Event-Triggered H∞ Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1071-1081 (2017) - [j36]Li Bu, Dongbin Zhao, Cesare Alippi:
An Incremental Change Detection Test Based on Density Difference Estimation. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2714-2726 (2017) - [c93]Qichao Zhang, Dongbin Zhao, Sibo Zhang:
Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. ICONIP (1) 2017: 822-830 - [c92]Zhen Zhang, Dongqing Wang, Dongbin Zhao, Tingting Song:
FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent. ICONIP (1) 2017: 840-848 - [c91]Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo:
Policy gradient methods with Gaussian process modelling acceleration. IJCNN 2017: 1774-1779 - [c90]Yaran Chen, Dongbin Zhao:
Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection. ISNN (1) 2017: 28-35 - [c89]Kun Shao, Yuanheng Zhu, Dongbin Zhao:
Cooperative reinforcement learning for multiple units combat in starCraft. SSCI 2017: 1-6 - [c88]Qichao Zhang, Dongbin Zhao:
Event-triggered integral reinforcement learning for nonlinear continuous-time systems. SSCI 2017: 1-6 - [e8]Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy:
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10634, Springer 2017, ISBN 978-3-319-70086-1 [contents] - [e7]Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy:
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10635, Springer 2017, ISBN 978-3-319-70095-3 [contents] - [e6]Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy:
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10636, Springer 2017, ISBN 978-3-319-70089-2 [contents] - [e5]Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy:
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part IV. Lecture Notes in Computer Science 10637, Springer 2017, ISBN 978-3-319-70092-2 [contents] - [e4]