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2020 – today
- 2025
[j105]Nannan Li, Yaran Chen
, Dongbin Zhao:
Adaptive search for broad attention based vision transformers. Neurocomputing 611: 128696 (2025)- [j104]Yuanheng Zhu, Shangjing Huang, Binbin Zuo, Dongbin Zhao, Changyin Sun:
Multi-Task Multi-Agent Reinforcement Learning With Task-Entity Transformers and Value Decomposition Training. IEEE Trans Autom. Sci. Eng. 22: 9164-9177 (2025) - [j103]Xin Liu, Yaran Chen, Guixing Chen, Haoran Li, Dongbin Zhao:
Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery. IEEE Trans. Cybern. 55(5): 2234-2247 (2025) - [j102]Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Dongbin Zhao:
LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 513-525 (2025) - [j101]Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao:
Cross-Domain Random Pretraining With Prototypes for Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 55(5): 3601-3613 (2025) - [c142]Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao:
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. AAAI 2025: 20929-20937 - [c141]Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu:
Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning. ICLR 2025 - [c140]Yuqian Fu, Yuanheng Zhu, Jian Zhao, Jiajun Chai, Dongbin Zhao:
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning. ICLR 2025 - [c139]Runyu Lu, Yuanheng Zhu, Dongbin Zhao:
Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games. ICLR 2025 - [c138]Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao:
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. ICLR 2025 - [i57]Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao:
Dream to Drive with Predictive Individual World Model. CoRR abs/2501.16733 (2025) - [i56]Yuhui Chen, Shuai Tian, Shugao Liu, Yingting Zhou, Haoran Li, Dongbin Zhao:
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy. CoRR abs/2502.05450 (2025) - [i55]Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao:
Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. CoRR abs/2502.08336 (2025) - [i54]Weiheng Liu, Yuxuan Wan, Jilong Wang, Yuxuan Kuang, Xuesong Shi, Haoran Li, Dongbin Zhao, Zhizheng Zhang, He Wang:
FetchBot: Object Fetching in Cluttered Shelves via Zero-Shot Sim2Real. CoRR abs/2502.17894 (2025) - [i53]Songjun Tu, Jiahao Lin, Xiangyu Tian, Qichao Zhang, Linjing Li, Yuqian Fu, Nan Xu, Wei He, Xiangyuan Lan, Dongmei Jiang, Dongbin Zhao:
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. CoRR abs/2503.12854 (2025) - 2024
- [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao:
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4033-4045 (2024) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]Jiajun Chai, Yuanheng Zhu, Dongbin Zhao:
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17829-17841 (2024) - [j89]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18758-18770 (2024) - [c137]Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu:
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS 2024: 281-289 - [c136]Yuhui Chen, Haoran Li, Dongbin Zhao:
Boosting Continuous Control with Consistency Policy. AAMAS 2024: 335-344 - [c135]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 - [c134]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 - [c133]Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao:
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. NeurIPS 2024 - [c132]Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen:
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. NeurIPS 2024 - [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 - [i52]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) - [i51]Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang:
Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR abs/2403.09971 (2024) - [i50]Xin Liu, Yaran Chen, Dongbin Zhao:
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. CoRR abs/2405.11740 (2024) - [i49]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) - [i48]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) - [i47]Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao:
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. CoRR abs/2410.00051 (2024) - [i46]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) - [i45]Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen:
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. CoRR abs/2410.11448 (2024) - [i44]Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao:
CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration. CoRR abs/2411.03603 (2024) - [i43]Yupeng Zheng, Zhongpu Xia, Qichao Zhang, Teng Zhang, Ben Lu, Xiaochuang Huo, Chao Han, Yixian Li, Mengjie Yu, Bu Jin, Pengxuan Yang, Yuhang Zheng, Haifeng Yuan, Ke Jiang, Peng Jia, Xianpeng Lang, Dongbin Zhao:
Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving. CoRR abs/2412.02689 (2024) - [i42]Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao:
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. CoRR abs/2412.09104 (2024) - [i41]Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao:
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. CoRR abs/2412.16878 (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
[j105] [j103] [j101] [c138] [j100] [j91] [c135] [i51] [i50] [i49] [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]
[c142] [c138] [i57] [i55] [i53] [j97] [j94] [j93] [j92] [j89] [c134] [c131] [i49] [i43] [i42] [i41] [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]
[j104] [j102] [c141] [c140] [c139] [j100] [j99] [j98] [j95] [j90] [c137] [c132] [i52] [i48] [i45] [i44] [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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