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2020 – today
- 2025
[j98]Nannan Li, Yaran Chen
, Dongbin Zhao:
Adaptive search for broad attention based vision transformers. Neurocomputing 611: 128696 (2025)- 2024
- [j97]Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao:
Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. IEEE Trans. Artif. Intell. 5(9): 4364-4375 (2024) - [j96]Haoran Li, Yaocheng Zhang, Haowei Wen, Yuanheng Zhu, Dongbin Zhao:
Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility. IEEE Trans. Artif. Intell. 5(9): 4585-4594 (2024) - [j95]Boyu Li, Haoran Li, Yuanheng Zhu, Dongbin Zhao:
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Trans. Cogn. Dev. Syst. 16(4): 1611-1621 (2024) - [j94]Yuqi Liu, Qichao Zhang, Yinfeng Gao, Dongbin Zhao:
Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks. IEEE Trans. Cogn. Dev. Syst. 16(5): 1759-1774 (2024) - [j93]Yong Zhang, Chaoxu Mu, Dongbin Zhao:
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 389-400 (2024) - [j92]Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao:
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. IEEE Trans. Ind. Informatics 20(9): 10717-10727 (2024) - [j91]Ding Li, Qichao Zhang, Zhongpu Xia, Yupeng Zheng, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao:
Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving. IEEE Trans. Intell. Veh. 9(1): 692-703 (2024) - [j90]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8812-8825 (2024) - [j89]Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie:
BViT: Broad Attention-Based Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12772-12783 (2024) - [c135]Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu:
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS 2024: 281-289 - [c134]Yuhui Chen, Haoran Li, Dongbin Zhao:
Boosting Continuous Control with Consistency Policy. AAMAS 2024: 335-344 - [c133]Yuanwen Chen, Xinyao Zhang, Yaran Chen, Dongbin Zhao, Yunzhen Zhao, Zhe Zhao, Pengfei Hu:
Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents. ICME 2024: 1-6 - [c132]Qichao Zhang, Xing Fang, Kaixuan Xu, Weixin Zhao, Haoran Li, Dongbin Zhao:
High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning. IJCNN 2024: 1-7 - [c131]Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao:
User Response Modeling in Reinforcement Learning for Ads Allocation. WWW (Companion Volume) 2024: 131-140 - [i47]Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao:
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. CoRR abs/2402.00738 (2024) - [i46]Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang:
Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR abs/2403.09971 (2024) - [i45]Xin Liu, Yaran Chen, Dongbin Zhao:
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. CoRR abs/2405.11740 (2024) - [i44]Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, Dongbin Zhao:
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. CoRR abs/2406.01587 (2024) - [i43]Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao:
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. CoRR abs/2408.00309 (2024) - [i42]Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao:
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. CoRR abs/2410.00051 (2024) - [i41]Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu:
SELU: Self-Learning Embodied MLLMs in Unknown Environments. CoRR abs/2410.03303 (2024) - 2023
- [j88]Yuanheng Zhu, Dongbin Zhao:
Vision-based control in the open racing car simulator with deep and reinforcement learning. J. Ambient Intell. Humaniz. Comput. 14(12): 15673-15685 (2023) - [j87]Yuqi Liu, Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao:
Multi-task safe reinforcement learning for navigating intersections in dense traffic. J. Frankl. Inst. 360(17): 13737-13760 (2023) - [j86]Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu, Dongbin Zhao:
Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 15(3): 1463-1473 (2023) - [j85]Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao:
ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. IEEE Trans. Cogn. Dev. Syst. 15(3): 1560-1573 (2023) - [j84]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. IEEE Trans. Games 15(1): 5-15 (2023) - [j83]Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao:
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j82]Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding:
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2093-2104 (2023) - [j81]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3966-3978 (2023) - [j80]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. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5417-5429 (2023) - [j79]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen:
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5679-5690 (2023) - [c130]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. ICRA 2023: 4916-4923 - [c129]Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao:
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. IJCNN 2023: 1-8 - [c128]Nannan Li, Yaran Chen, Dongbin Zhao:
Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. IJCNN 2023: 1-8 - [c127]Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [i40]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) - [i39]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) - [i38]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) - [i37]Guangzheng Hu, Haoran Li, Shasha Liu, Mingjun Ma, Yuanheng Zhu, Dongbin Zhao:
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. CoRR abs/2303.12319 (2023) - [i36]Ding Li, Qichao Zhang, Zhongpu Xia, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao:
Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving. CoRR abs/2304.11295 (2023) - [i35]Runyu Lu, Yuanheng Zhu, Dongbin Zhao:
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. CoRR abs/2306.00350 (2023) - [i34]Yaran Chen, Xueyu Chen, Yu Han, Haoran Li, Dongbin Zhao, Jingzhong Li, Xu Wang:
Multi-modal Learning based Prediction for Disease. CoRR abs/2307.09823 (2023) - [i33]Xin Liu, Yaran Chen, Dongbin Zhao:
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. CoRR abs/2309.17203 (2023) - [i32]Yuhui Chen, Haoran Li, Dongbin Zhao:
Boosting Continuous Control with Consistency Policy. CoRR abs/2310.06343 (2023) - [i31]Yaran Chen, Wenbo Cui, Yuanwen Chen, Mining Tan, Xinyao Zhang, Dongbin Zhao, He Wang:
RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks. CoRR abs/2311.15649 (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]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 V. Lecture Notes in Computer Science 10638, Springer 2017, ISBN 978-3-319-70138-7 [contents] - [e3]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 VI. Lecture Notes in Computer Science 10639, Springer 2017, ISBN 978-3-319-70135-6 [contents] - 2016
- [j35]Dongbin Zhao, Qichao Zhang, Ding Wang, Yuanheng Zhu:
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE Trans. Cybern. 46(3): 854-865 (2016) - [j34]Yufei Tang, Haibo He, Zhen Ni, Xiangnan Zhong, Dongbin Zhao, Xin Xu:
Fuzzy-Based Goal Representation Adaptive Dynamic Programming. IEEE Trans. Fuzzy Syst. 24(5): 1159-1175 (2016) - [j33]Ding Wang, Derong Liu, Qichao Zhang, Dongbin Zhao:
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 46(11): 1544-1555 (2016) - [c87]Qichao Zhang, Dongbin Zhao, Ding Wang:
Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. ICCSIP 2016: 13-26 - [c86]Bin Wang, Dongbin Zhao, Jin Cheng, Yuan Xu, Yueyang Li:
A general adaptive dynamic programming approach with experience replay. IJCNN 2016: 3550-3555 - [c85]Li Bu, Cesare Alippi, Dongbin Zhao:
Ensemble LSDD-based change detection tests. IJCNN 2016: 4064-4069 - [c84]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen:
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN 2016: 4533-4538 - [c83]Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang:
Convolutional fitted Q iteration for vision-based control problems. IJCNN 2016: 4539-4544 - [c82]Le Lv, Dongbin Zhao, Qingqiong Deng:
Image clustering based on deep sparse representations. SSCI 2016: 1-6 - [c81]Zhentao Tang, Dongbin Zhao, Kun Shao, Le Lv:
ADP with MCTS algorithm for Gomoku. SSCI 2016: 1-7 - [c80]Dongbin Zhao, Haitao Wang, Kun Shao, Yuanheng Zhu:
Deep reinforcement learning with experience replay based on SARSA. SSCI 2016: 1-6 - 2015
- [j32]Amir Hussain, Dacheng Tao, Q. M. Jonathan Wu, Dongbin Zhao:
Computational Intelligence for Changing Environments [Guest Editorial]. IEEE Comput. Intell. Mag. 10(4): 10-11 (2015) - [j31]Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji:
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. Cogn. Comput. 7(6): 763-771 (2015) - [j30]Yuanheng Zhu, Dongbin Zhao, Derong Liu:
Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. Neurocomputing 149: 124-131 (2015) - [j29]Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao, Haibo He:
Computational Energy Management in Smart Grids. Neurocomputing 170: 267-269 (2015) - [j28]Yuanheng Zhu, Dongbin Zhao:
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. Neural Comput. Appl. 26(4): 775-787 (2015) - [j27]Dongbin Zhao, Zhongpu Xia, Ding Wang:
Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis. IEEE Trans Autom. Sci. Eng. 12(4): 1461-1468 (2015) - [j26]Dongbin Zhao, Yuanheng Zhu:
MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. IEEE Trans. Neural Networks Learn. Syst. 26(2): 346-356 (2015) - [j25]Zhen Ni, Haibo He, Dongbin Zhao, Xin Xu, Danil V. Prokhorov:
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 26(3): 614-627 (2015) - [c79]Dong Li, Dongbin Zhao, Yuanheng Zhu, Zhongpu Xia:
Thermal comfort control based on MEC algorithm for HVAC systems. IJCNN 2015: 1-6 - [c78]Zhongpu Xia, Dongbin Zhao:
Online reinforcement learning by Bayesian inference. IJCNN 2015: 1-6 - [c77]Dongbin Zhao, Qichao Zhang, Xiangjun Li, Lingda Kong:
Event-Triggered H ∞ Control for Continuous-Time Nonlinear System. ISNN 2015: 62-70 - [c76]Li Bu, Dongbin Zhao, Cesare Alippi:
A Pdf-Free Change Detection Test for Data Streams Monitoring. SSCI 2015: 542-547 - [e2]Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao:
Advances in Neural Networks - ISNN 2015 - 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings. Lecture Notes in Computer Science 9377, Springer 2015, ISBN 978-3-319-25392-3 [contents] - 2014
- [j24]Dongbin Zhao, Zhaohui Hu, Zhongpu Xia, Cesare Alippi, Yuanheng Zhu, Ding Wang:
Full-range adaptive cruise control based on supervised adaptive dynamic programming. Neurocomputing 125: 57-67 (2014) - [j23]Bin Wang, Dongbin Zhao, Cesare Alippi, Derong Liu:
Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. Neurocomputing 134: 222-229 (2014) - [j22]Cesare Alippi, Derong Liu, Dongbin Zhao, Li Bu:
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. IEEE Trans. Syst. Man Cybern. Syst. 44(3): 353-362 (2014) - [c75]Yuanheng Zhu, Dongbin Zhao:
A data-based online reinforcement learning algorithm with high-efficient exploration. ADPRL 2014: 1-6 - [c74]Li Bu, Dongbin Zhao, Yu Liu, Qiang Guan:
A hierarchical classification algorithm for evaluating energy consumption behaviors. IJCNN 2014: 1461-1466 - [c73]Bin Wang, Dongbin Zhao:
A Kaiman filter-based actor-critic learning approach. IJCNN 2014: 3657-3662 - [c72]Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao:
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. IJCNN 2014: 3677-3684 - 2013
- [j21]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 Comput. Appl. 22(2): 219-227 (2013) - [j20]Dianwei Qian, Dongbin Zhao, Jianqiang Yi, Xiangjie Liu:
Neural sliding-mode load frequency controller design of power systems. Neural Comput. Appl. 22(2): 279-286 (2013) - [j19]Dongbin Zhao, Yi Shen, Zhanshan Wang, Xiaolin Hu:
Data-based control, optimization, modeling and applications. Neural Comput. Appl. 23(7-8): 1839-1842 (2013) - [j18]Dongbin Zhao, Cesare Alippi, Derong Liu, Huaguang Zhang:
Special issue on intelligent control and information processing. Soft Comput. 17(11): 1967-1969 (2013) - [j17]Dongbin Zhao, Bin Wang, Derong Liu:
A supervised Actor-Critic approach for adaptive cruise control. Soft Comput. 17(11): 2089-2099 (2013) - [c71]Zhen Ni, Xiao Fang, Haibo He, Dongbin Zhao, Xin Xu:
Real-time tracking on adaptive critic design with uniformly ultimately bounded condition. ADPRL 2013: 39-46 - [c70]Yuanheng Zhu, Dongbin Zhao:
Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. ICONIP (2) 2013: 242-249 - [c69]Dongbin Zhao, Zhongpu Xia:
Adaptive optimal control for the uncertain driving habit problem in adaptive cruise control system. ICVES 2013: 159-164 - [c68]Cesare Alippi, Li Bu, Dongbin Zhao:
A prior-free encode-decode change detection test to inspect datastreams for concept drift. IJCNN 2013: 1-6 - [e1]Derong Liu, Cesare Alippi, Dongbin Zhao, Amir Hussain:
Advances in Brain Inspired Cognitive Systems - 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings. Lecture Notes in Computer Science 7888, Springer 2013, ISBN 978-3-642-38785-2 [contents] - 2012
- [j16]Ding Wang, Derong Liu, Qinglai Wei, Dongbin Zhao, Ning Jin:
Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming. Autom. 48(8): 1825-1832 (2012) - [j15]Huaguang Zhang, Cesare Alippi, Dongbin Zhao:
Data-driven optimal algorithms and their applications to pattern recognition. Neurocomputing 78(1): 1-2 (2012) - [j14]Dongbin Zhao, Zhen Zhang, Yujie Dai:
Self-teaching adaptive dynamic programming for Gomoku. Neurocomputing 78(1): 23-29 (2012) - [j13]Derong Liu, Ding Wang, Dongbin Zhao, Qinglai Wei, Ning Jin:
Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming. IEEE Trans Autom. Sci. Eng. 9(3): 628-634 (2012) - [j12]Dongbin Zhao, Yujie Dai, Zhen Zhang:
Computational Intelligence in Urban Traffic Signal Control: A Survey. IEEE Trans. Syst. Man Cybern. Part C 42(4): 485-494 (2012) - [c67]Cesare Alippi, Li Bu, Dongbin Zhao:
SVM-Based Just-in-Time Adaptive Classifiers. ICONIP (2) 2012: 664-672 - [c66]Bin Wang, Dongbin Zhao:
The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming. ICONIP (1) 2012: 664-672 - [c65]Zhen Ni, Haibo He, Dongbin Zhao, Danil V. Prokhorov:
Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. IJCNN 2012: 1-8 - [c64]Dongbin Zhao, Yuanheng Zhu, Haibo He:
Neural and fuzzy dynamic programming for under-actuated systems. IJCNN 2012: 1-7 - [c63]Jing Wang, Haibo He, Yuan Cao, Jin Xu, Dongbin Zhao:
A Hierarchical Neural Network Architecture for Classification. ISNN (1) 2012: 37-46 - 2011
- [j11]Zhaohui Hu, Dongbin Zhao:
Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards. J. Adv. Comput. Intell. Intell. Informatics 15(3): 351-356 (2011) - [j10]Dongbin Zhao, Xuerui Bai, Fei-Yue Wang, Jing Xu, Wensheng Yu:
DHP Method for Ramp Metering of Freeway Traffic. IEEE Trans. Intell. Transp. Syst. 12(4): 990-999 (2011) - [j9]Tianyou Chai, Zhongsheng Hou, Frank L. Lewis, Amir Hussain, Dongbin Zhao:
Guest Editorial Data-Based Control, Modeling, and Optimization. IEEE Trans. Neural Networks 22(12): 2150-2153 (2011) - [c62]Derong Liu, Ding Wang, Dongbin Zhao:
Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems. ADPRL 2011: 242-249 - [c61]Dongbin Zhao, Zhaohui Hu:
Supervised adaptive dynamic programming based adaptive cruise control. ADPRL 2011: 318-323 - [c60]Derong Liu, Ding Wang, Dongbin Zhao:
Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm. IJCNN 2011: 53-60 - [c59]Yujie Dai, Jinzong Hu, Dongbin Zhao, Fenghua Zhu:
Neural network based online traffic signal controller design with reinforcement training. ITSC 2011: 1045-1050 - 2010
- [c58]Zhaohui Hu, Dongbin Zhao:
Reinforcement learning for multi-agent patrol policy. IEEE ICCI 2010: 530-535 - [c57]Yujie Dai, Dongbin Zhao:
A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming. ICNSC 2010: 255-260 - [c56]Yujie Dai, Dongbin Zhao, Jianqiang Yi:
A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j8]Weirong Liu, Jianqiang Yi, Dongbin Zhao:
Genetic Algorithm-Based Fuzzy Controller To Avoid Network Congestion. Intell. Autom. Soft Comput. 15(2): 237-248 (2009) - [j7]Xiang-min Tan, Dongbin Zhao, Jianqiang Yi, Dong Xu:
Adaptive Integrated Control for Omnidirectional Mobile Manipulators Based on Neural-Network. Int. J. Cogn. Informatics Nat. Intell. 3(4): 34-53 (2009) - [j6]Dong Xu, Dongbin Zhao, Jianqiang Yi, Xiang-min Tan:
Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach. IEEE Trans. Syst. Man Cybern. Part B 39(3): 788-799 (2009) - [c55]Xuerui Bai, Dongbin Zhao, Jianqiang Yi:
ADHDP(λ) strategies based coordinated ramps metering with queuing consideration. ADPRL 2009: 22-27 - [c54]Yi Yu, Jianqiang Yi, Chengdong Li, Dongbin Zhao, Jianhong Zhang:
Control of a rope-driven self-leveling device for leveling adjustment. ACC 2009: 5115-5120 - [c53]Chengdong Li, Jianqiang Yi, Dongbin Zhao:
Control of the TORA system using SIRMs based type-2 fuzzy logic. FUZZ-IEEE 2009: 694-699 - [c52]Chengdong Li, Jianqiang Yi, Dongbin Zhao:
Analysis and design of monotonic type-2 fuzzy inference systems. FUZZ-IEEE 2009: 1193-1198 - [c51]Xuerui Bai, Dongbin Zhao, Jianqiang Yi:
Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming. IJCNN 2009: 241-248 - [c50]Yi Yu, Jianqiang Yi, Chengdong Li, Dongbin Zhao, Jianhong Zhang:
Fuzzy logic based adjustment control of a cable-driven auto-leveling parallel robot. IROS 2009: 2102-2107 - 2008
- [j5]Nan Zhang, Fei-Yue Wang, Fenghua Zhu, Dongbin Zhao, Shuming Tang:
DynaCAS: Computational Experiments and Decision Support for ITS. IEEE Intell. Syst. 23(6): 19-23 (2008) - [c49]Yinxing Hao, Jianqiang Yi, Dongbin Zhao, Dianwei Qian:
Robust control using incremental sliding mode for underactuated systems with mismatched uncertainties. ACC 2008: 532-537 - [c48]Yanping Xiang, Jianqiang Yi, Dongbin Zhao:
A nonlinear rate control method for network congestion control. ACC 2008: 4436-4441 - [c47]Tao Li, Dongbin Zhao, Jianqiang Yi:
Heuristic Dynamic Programming strategy with eligibility traces. ACC 2008: 4535-4540 - [c46]Xiang-min Tan, Dongbin Zhao, Jianqiang Yi, Dong Xu:
Adaptive hybrid control for omnidirectional mobile manipulators using neural-network. ACC 2008: 5174-5179 - [c45]Chengdong Li, Jianqiang Yi, Dongbin Zhao:
A Novel Type-Reduction Method for Interval Type-2 Fuzzy Logic Systems. FSKD (1) 2008: 157-161 - [c44]Yi Tian, Dongbin Zhao, Jianqiang Yi:
A Fuzzy Logic Controller with Adaptive Dynamic Programming Optimization for Traffic Signals. FSKD (3) 2008: 191-195 - [c43]Dong Xu, Dongbin Zhao, Jianqiang Yi, Xiang-min Tan, Zonghai Chen:
Trajectory tracking control of omnidirecitonal wheeled mobile manipulators: Robust neural network based sliding mode approach. ICRA 2008: 1653-1658 - [c42]Dianwei Qian, Jianqiang Yi, Dongbin Zhao:
Control of a class of under-actuated systems with saturation using hierarchical sliding mode. ICRA 2008: 2429-2434 - [c41]Tao Li, Dongbin Zhao, Jianqiang Yi:
Adaptive dynamic neuro-fuzzy system for traffic signal control. IJCNN 2008: 1840-1846 - [c40]Xuerui Bai, Dongbin Zhao, Jianqiang Yi, Jing Xu:
Ramp metering based on on-line ADHDP (lambda) controller. IJCNN 2008: 1847-1852 - [c39]Tao Li, Dongbin Zhao, Jianqiang Yi:
Adaptive Dynamic Programming for Multi-intersections Traffic Signal Intelligent Control. ITSC 2008: 286-291 - [c38]Xuerui Bai, Dongbin Zhao, Jianqiang Yi, Jing Xu:
Coordinated Control of Multiple Ramp Metering Based on DHP (λ) Controller. ITSC 2008: 351-356 - 2007
- [j4]Yiping Hong, Jianqiang Yi, Dongbin Zhao:
Improved mean shift segmentation approach for natural images. Appl. Math. Comput. 185(2): 940-952 (2007) - [j3]Jianqiang Yi, Qian Wang, Dongbin Zhao, John T. Wen:
BP neural network prediction-based variable-period sampling approach for networked control systems. Appl. Math. Comput. 185(2): 976-988 (2007) - [c37]Xiang-min Tan, Dongbin Zhao, Jianqiang Yi, Zeng-Guang Hou, Dong Xu:
Unified Model and Robust Neural-Network Control of Omnidirectional Mobile Manipulators. IEEE ICCI 2007: 411-418 - [c36]Jin Cheng, Jianqiang Yi, Dongbin Zhao:
Stabilization of an Underactuated Surface Vessel via Discontinuous Control. ACC 2007: 206-211 - [c35]Dianwei Qian, Jianqiang Yi, Dongbin Zhao:
Hierarchical Sliding Mode Control to Swing up a Pendubot. ACC 2007: 5254-5259 - [c34]Yinxing Hao, Jianqiang Yi, Dongbin Zhao, Dianwei Qian:
Incremental Sliding Mode Controller for Large-Scale Underactuated Syetem. ICNSC 2007: 87-92 - [c33]Weirong Liu, Jianqiang Yi, Dongbin Zhao:
Decentralized Control with Optimal Control Allocation. ICNSC 2007: 99-104 - [c32]Dianwei Qian, Jianqiang Yi, Dongbin Zhao:
Robust Control Using Sliding Mode for a Class of Under-Actuated Systems With Mismatched Uncertainties. ICRA 2007: 1449-1454 - [c31]Dong Xu, Dongbin Zhao, Jianqiang Yi, Xiang-min Tan:
Robust adaptive tracking control of omnidirecitonal wheeled mobile manipulators. IROS 2007: 3598-3603 - [c30]Dongbin Zhao, Jianqiang Yi, Xuyue Deng:
Motion regulation of redundantly actuated omni-directional Wheeled Mobile Robots with internal force control. IROS 2007: 3919-3924 - [c29]Xuerui Bai, Jianqiang Yi, Dongbin Zhao:
Approximate Dynamic Programming for Ship Course Control. ISNN (1) 2007: 349-357 - [c28]Yanping Xiang, Jianqiang Yi, Dongbin Zhao:
Multiple Approximate Dynamic Programming Controllers for Congestion Control. ISNN (1) 2007: 368-373 - [c27]Tao Li, Dongbin Zhao, Jianqiang Yi:
Application of ADP to Intersection Signal Control. ISNN (1) 2007: 374-379 - [c26]Jianxin Chen, Yanwei Xing, Guangcheng Xi, Jing Chen, Jianqiang Yi, Dongbin Zhao, Jie Wang:
A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease. ISNN (1) 2007: 1274-1279 - 2006
- [c25]Xuyue Deng, Dongbin Zhao, Jianqiang Yi, J. T. Wen:
Motion and squeeze force control for omnidirectional wheeled mobile robots. ACC 2006: 1-6 - [c24]Jin Cheng, Jianqiang Yi, Dongbin Zhao:
A New Fuzzy Autopilot for Way-point Tracking Control of Ships. FUZZ-IEEE 2006: 451-456 - [c23]Weirong Liu, Jianqiang Yi, Dongbin Zhao, John T. Wen:
Exponential Convergence Flow Control Model for Congestion Control. ICIC (1) 2006: 832-841 - [c22]Yanping Xiang, Jianqiang Yi, Dongbin Zhao, John T. Wen:
Time Based Congestion Control (TBCC) for High Speed High Delay Networks. ICIC (1) 2006: 863-874 - [c21]Xionghui Lu, Jianqiang Yi, Dongbin Zhao:
Autopilot Design Based on Fuzzy Logic and Genetic Algorithm. ICICIC (2) 2006: 309-312 - [c20]Yinxing Hao, Jianqiang Yi, Dongbin Zhao, Wei Wang:
Proposal of Incremental Sliding Mode Control. ICICIC (1) 2006: 340-343 - [c19]Dongbin Zhao, Jianqiang Yi:
Robot Planning with Artificial Potential Field Guided Ant Colony Optimization Algorithm. ICNC (2) 2006: 222-231 - [c18]Dianwei Qian, Jianqiang Yi, Dongbin Zhao, Yinxing Hao:
Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System. IROS 2006: 4977-4982 - [c17]Dongbin Zhao, Jianqiang Yi:
A Particle Swarm Optimized Fuzzy Neural Network Control for Acrobot. ISNN (2) 2006: 1160-1165 - [c16]Dongbin Zhao, Jianqiang Yi:
Analysis of Infectious Disease Data Based on Evolutionary Computation. WISI 2006: 179-180 - 2005
- [j2]Zuoshi Song, Jianqiang Yi, Dongbin Zhao, Xinchun Li:
A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach. Fuzzy Sets Syst. 154(2): 208-226 (2005) - [j1]Zhiguang Zhong, Jianqiang Yi, Dongbin Zhao, Yiping Hong:
Effective pose estimation from point pairs. Image Vis. Comput. 23(7): 651-660 (2005) - [c15]Xiaojing Liu, Jianqiang Yi, Dongbin Zhao:
Adaptive inverse disturbance canceling control system based on least square support vector machines. ACC 2005: 2625-2629 - [c14]Zuozhi Song, Dongbin Zhao, Jianqiang Yi, Xinchun Li:
Robust motion control for nonholonomic constrained mechanical systems: sliding mode approach. ACC 2005: 2883-2888 - [c13]Wei Wang, Jianqiang Yi, Dongbin Zhao, Xiaojing Liu:
Design of cascade fuzzy sliding-mode controller. ACC 2005: 4649-4654 - [c12]Zhiguang Zhong, Jianqiang Yi, Dongbin Zhao:
Pose Estimation and Structure Recovery from Point Pairs. ICRA 2005: 442-447 - [c11]Wei Wang, Jianqiang Yi, Dongbin Zhao, Xiaojing Liu:
Double layer sliding mode control for second-order underactuated mechanical systems. IROS 2005: 295-300 - [c10]Jianqiang Yi, Wei Wang, Dongbin Zhao, Xiaojing Liu:
Cascade sliding-mode controller for large-scale underactuated systems. IROS 2005: 301-306 - [c9]Zuoshi Song, Dongbin Zhao, Jianqiang Yi, Xinchun Li:
Tracking control of mobile manipulator with dynamical uncertainties. IROS 2005: 759-764 - [c8]Xiaojing Liu, Jianqiang Yi, Dongbin Zhao:
Adaptive Inverse Control System Based on Least Squares Support Vector Machines. ISNN (3) 2005: 48-53 - [c7]Jianing Li, Jianqiang Yi, Dongbin Zhao, Guangcheng Xi:
A Reinforcement Learning Based Radial-Bassis Function Network Control System. ISNN (1) 2005: 640-645 - 2004
- [c6]Diantong Liu, Jianqiang Yi, Dongbin Zhao, Wei Wang:
Swing-free transporting of two-dimensional overhead crane using sliding mode fuzzy control. ACC 2004: 1764-1769 - [c5]Zhiguang Zhong, Jianqiang Yi, Dongbin Zhao, Yiping Hong, Xinzheng Li:
Motion vision for mobile robot localization. ICARCV 2004: 261-266 - [c4]Yiping Hong, Jianqiang Yi, Dongbin Zhao, Xinzheng Li:
A robust doorplate recognition system. ICARCV 2004: 821-825 - [c3]Zuoshi Song, Jianqiang Yi, Dongbin Zhao, Xinchun Li:
Smooth time-varying regulation of nonholonomic chained systems. ICARCV 2004: 1437-1442 - [c2]Wenzeng Zhang, Qiang Chen, Zhenguo Sun, Dongbin Zhao:
Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function. ICRA 2004: 2216-2221 - 2003
- [c1]Wenzeng Zhang, Qiang Chen, Zhenguo Sun, Dongbin Zhao:
Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force. ICRA 2003: 696-701
Coauthor Index
[j98] [j97] [j89] [c133] [i46] [i45] [i44] [j85] [j79] [c128] [i39] [i38] [i34] [i33] [i31] [j77] [j76] [j74] [j72] [j71] [c124] [i30] [j70] [j69] [i22] [i19] [i17] [j67] [c120] [c119] [c115] [c114] [i16] [i15] [i13] [i12] [i11] [i9] [i7] [j60] [c112] [c108] [c107] [c105] [i5] [j50] [c102] [c99] [c98] [i1] [j42] [c90] [c83]
[j20] [c56] [j8] [j7] [j6] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [j4] [j3] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j2] [j1] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3]
[j94] [j92] [j91] [j90] [c132] [c131] [i44] [j87] [c130] [i40] [i36] [j78] [j77] [j75] [c125] [c123] [i29] [i27] [i25] [i24] [c122] [c121] [i21] [i20] [j65] [j63] [c119] [i12] [i10] [i8] [j60] [j55] [c112] [c111] [c106] [i5] [i4] [j50] [j49] [j48] [c102] [c101] [c98] [c97] [c96] [c94] [i1] [j45] [j43] [j37] [c93] [c91] [c88] [j35] [j33] [c87] [c84] [c83] [c77]
[j97] [j96] [j95] [c135] [i47] [i43] [j88] [j86] [j84] [j83] [j82] [j81] [j80] [c129] [c127] [i37] [i35] [j73] [c126] [i28] [i26] [i23] [j68] [i18] [j64] [j62] [j61] [c118] [c117] [i14] [i6] [j56] [j54] [j53] [c110] [c104] [i3] [j51] [j49] [c103] [c100] [c97] [c95] [c94] [i2] [j43] [j40] [j38] [j37] [c89] [j35] [c84] [c83] [c80] [j31] [j30] [j28] [j26] [c79] [j24] [c75] [c70] [c64]
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