Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force. - Wenzeng Zhang; Qiang Chen 009; Zhenguo Sun; Dongbin Zhao (ICRA, 2003)

Swing-free transporting of two-dimensional overhead crane using sliding mode fuzzy control. - Diantong Liu; Jianqiang Yi; Dongbin Zhao; Wei Wang 115 (ACC, 2004)

A robust doorplate recognition system. - Yiping Hong; Jianqiang Yi; Dongbin Zhao; Xinzheng Li (ICARCV, 2004)

Smooth time-varying regulation of nonholonomic chained systems. - Zuoshi Song; Jianqiang Yi; Dongbin Zhao; Xinchun Li (ICARCV, 2004)

Motion vision for mobile robot localization. - Zhiguang Zhong; Jianqiang Yi; Dongbin Zhao; Yiping Hong; Xinzheng Li (ICARCV, 2004)

Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function. - Wenzeng Zhang; Qiang Chen 009; Zhenguo Sun; Dongbin Zhao (ICRA, 2004)

Adaptive inverse disturbance canceling control system based on least square support vector machines. - Xiaojing Liu; Jianqiang Yi; Dongbin Zhao (ACC, 2005)

Robust motion control for nonholonomic constrained mechanical systems: sliding mode approach. - Zuozhi Song; Dongbin Zhao; Jianqiang Yi; Xinchun Li (ACC, 2005)

Design of cascade fuzzy sliding-mode controller. - Wei Wang 115; Jianqiang Yi; Dongbin Zhao; Xiaojing Liu (ACC, 2005)

Pose Estimation and Structure Recovery from Point Pairs. - Zhiguang Zhong; Jianqiang Yi; Dongbin Zhao (ICRA, 2005)

Tracking control of mobile manipulator with dynamical uncertainties. - Zuoshi Song; Dongbin Zhao; Jianqiang Yi; Xinchun Li (IROS, 2005)

Double layer sliding mode control for second-order underactuated mechanical systems. - Wei Wang 115; Jianqiang Yi; Dongbin Zhao; Xiaojing Liu (IROS, 2005)

Cascade sliding-mode controller for large-scale underactuated systems. - Jianqiang Yi; Wei Wang 115; Dongbin Zhao; Xiaojing Liu (IROS, 2005)

A Reinforcement Learning Based Radial-Bassis Function Network Control System. - Jianing Li; Jianqiang Yi; Dongbin Zhao; Guangcheng Xi (ISNN (1), 2005)

Adaptive Inverse Control System Based on Least Squares Support Vector Machines. - Xiaojing Liu; Jianqiang Yi; Dongbin Zhao (ISNN (3), 2005)

A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach. - Zuoshi Song; Jianqiang Yi; Dongbin Zhao; Xinchun Li (Fuzzy Sets Syst., 2005)

Effective pose estimation from point pairs. - Zhiguang Zhong; Jianqiang Yi; Dongbin Zhao; Yiping Hong (Image Vis. Comput., 2005)

Motion and squeeze force control for omnidirectional wheeled mobile robots. - Xuyue Deng; Dongbin Zhao; Jianqiang Yi; J. T. Wen (ACC, 2006)

A New Fuzzy Autopilot for Way-point Tracking Control of Ships. - Jin Cheng 004; Jianqiang Yi; Dongbin Zhao (FUZZ-IEEE, 2006)

Exponential Convergence Flow Control Model for Congestion Control. - Weirong Liu; Jianqiang Yi; Dongbin Zhao; John T. Wen (ICIC (1), 2006)

Time Based Congestion Control (TBCC) for High Speed High Delay Networks. - Yanping Xiang; Jianqiang Yi; Dongbin Zhao; John T. Wen (ICIC (1), 2006)

Proposal of Incremental Sliding Mode Control. - Yinxing Hao; Jianqiang Yi; Dongbin Zhao; Wei Wang 115 (ICICIC (1), 2006)

Autopilot Design Based on Fuzzy Logic and Genetic Algorithm. - Xionghui Lu; Jianqiang Yi; Dongbin Zhao (ICICIC (2), 2006)

Robot Planning with Artificial Potential Field Guided Ant Colony Optimization Algorithm. - Dongbin Zhao; Jianqiang Yi (ICNC (2), 2006)

Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System. - Dianwei Qian; Jianqiang Yi; Dongbin Zhao; Yinxing Hao (IROS, 2006)

A Particle Swarm Optimized Fuzzy Neural Network Control for Acrobot. - Dongbin Zhao; Jianqiang Yi (ISNN (2), 2006)

Analysis of Infectious Disease Data Based on Evolutionary Computation. - Dongbin Zhao; Jianqiang Yi (WISI, 2006)

Unified Model and Robust Neural-Network Control of Omnidirectional Mobile Manipulators. - Xiang-min Tan; Dongbin Zhao; Jianqiang Yi; Zeng-Guang Hou; Dong Xu (IEEE ICCI, 2007)

Stabilization of an Underactuated Surface Vessel via Discontinuous Control. - Jin Cheng 004; Jianqiang Yi; Dongbin Zhao (ACC, 2007)

Hierarchical Sliding Mode Control to Swing up a Pendubot. - Dianwei Qian; Jianqiang Yi; Dongbin Zhao (ACC, 2007)

Incremental Sliding Mode Controller for Large-Scale Underactuated Syetem. - Yinxing Hao; Jianqiang Yi; Dongbin Zhao; Dianwei Qian (ICNSC, 2007)

Decentralized Control with Optimal Control Allocation. - Weirong Liu; Jianqiang Yi; Dongbin Zhao (ICNSC, 2007)

Robust Control Using Sliding Mode for a Class of Under-Actuated Systems With Mismatched Uncertainties. - Dianwei Qian; Jianqiang Yi; Dongbin Zhao (ICRA, 2007)

Robust adaptive tracking control of omnidirecitonal wheeled mobile manipulators. - Dong Xu; Dongbin Zhao; Jianqiang Yi; Xiang-min Tan (IROS, 2007)

Motion regulation of redundantly actuated omni-directional Wheeled Mobile Robots with internal force control. - Dongbin Zhao; Jianqiang Yi; Xuyue Deng (IROS, 2007)

Approximate Dynamic Programming for Ship Course Control. - Xuerui Bai; Jianqiang Yi; Dongbin Zhao (ISNN (1), 2007)

A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease. - Jianxin Chen; Yanwei Xing; Guangcheng Xi; Jing Chen; Jianqiang Yi; Dongbin Zhao; Jie Wang 107 (ISNN (1), 2007)

Application of ADP to Intersection Signal Control. - Tao Li; Dongbin Zhao; Jianqiang Yi (ISNN (1), 2007)

Multiple Approximate Dynamic Programming Controllers for Congestion Control. - Yanping Xiang; Jianqiang Yi; Dongbin Zhao (ISNN (1), 2007)

Improved mean shift segmentation approach for natural images. - Yiping Hong; Jianqiang Yi; Dongbin Zhao (Appl. Math. Comput., 2007)

BP neural network prediction-based variable-period sampling approach for networked control systems. - Jianqiang Yi; Qian Wang; Dongbin Zhao; John T. Wen (Appl. Math. Comput., 2007)

Robust control using incremental sliding mode for underactuated systems with mismatched uncertainties. - Yinxing Hao; Jianqiang Yi; Dongbin Zhao; Dianwei Qian (ACC, 2008)

Heuristic Dynamic Programming strategy with eligibility traces. - Tao Li; Dongbin Zhao; Jianqiang Yi (ACC, 2008)

Adaptive hybrid control for omnidirectional mobile manipulators using neural-network. - Xiang-min Tan; Dongbin Zhao; Jianqiang Yi; Dong Xu (ACC, 2008)

A nonlinear rate control method for network congestion control. - Yanping Xiang; Jianqiang Yi; Dongbin Zhao (ACC, 2008)

A Novel Type-Reduction Method for Interval Type-2 Fuzzy Logic Systems. - Chengdong Li; Jianqiang Yi; Dongbin Zhao (FSKD (1), 2008)

A Fuzzy Logic Controller with Adaptive Dynamic Programming Optimization for Traffic Signals. - Yi Tian; Dongbin Zhao; Jianqiang Yi (FSKD (3), 2008)

Control of a class of under-actuated systems with saturation using hierarchical sliding mode. - Dianwei Qian; Jianqiang Yi; Dongbin Zhao (ICRA, 2008)

Trajectory tracking control of omnidirecitonal wheeled mobile manipulators: Robust neural network based sliding mode approach. - Dong Xu; Dongbin Zhao; Jianqiang Yi; Xiang-min Tan; Zonghai Chen (ICRA, 2008)

Ramp metering based on on-line ADHDP (lambda) controller. - Xuerui Bai; Dongbin Zhao; Jianqiang Yi; Jing Xu (IJCNN, 2008)

Adaptive dynamic neuro-fuzzy system for traffic signal control. - Tao Li; Dongbin Zhao; Jianqiang Yi (IJCNN, 2008)

Coordinated Control of Multiple Ramp Metering Based on DHP (λ) Controller. - Xuerui Bai; Dongbin Zhao; Jianqiang Yi; Jing Xu (ITSC, 2008)

Adaptive Dynamic Programming for Multi-intersections Traffic Signal Intelligent Control. - Tao Li; Dongbin Zhao; Jianqiang Yi (ITSC, 2008)

DynaCAS: Computational Experiments and Decision Support for ITS. - Nan Zhang; Fei-Yue Wang 001; Fenghua Zhu; Dongbin Zhao; Shuming Tang (IEEE Intell. Syst., 2008)

ADHDP(λ) strategies based coordinated ramps metering with queuing consideration. - Xuerui Bai; Dongbin Zhao; Jianqiang Yi (ADPRL, 2009)

Control of a rope-driven self-leveling device for leveling adjustment. - Yi Yu; Jianqiang Yi; Chengdong Li; Dongbin Zhao; Jianhong Zhang (ACC, 2009)

Control of the TORA system using SIRMs based type-2 fuzzy logic. - Chengdong Li; Jianqiang Yi; Dongbin Zhao (FUZZ-IEEE, 2009)

Analysis and design of monotonic type-2 fuzzy inference systems. - Chengdong Li; Jianqiang Yi; Dongbin Zhao (FUZZ-IEEE, 2009)

Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming. - Xuerui Bai; Dongbin Zhao; Jianqiang Yi (IJCNN, 2009)

Fuzzy logic based adjustment control of a cable-driven auto-leveling parallel robot. - Yi Yu; Jianqiang Yi; Chengdong Li; Dongbin Zhao; Jianhong Zhang (IROS, 2009)

Genetic Algorithm-Based Fuzzy Controller To Avoid Network Congestion. - Weirong Liu; Jianqiang Yi; Dongbin Zhao (Intell. Autom. Soft Comput., 2009)

Adaptive Integrated Control for Omnidirectional Mobile Manipulators Based on Neural-Network. - Xiang-min Tan; Dongbin Zhao; Jianqiang Yi; Dong Xu (Int. J. Cogn. Informatics Nat. Intell., 2009)

Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach. - Dong Xu; Dongbin Zhao; Jianqiang Yi; Xiang-min Tan (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Reinforcement learning for multi-agent patrol policy. - Zhaohui Hu; Dongbin Zhao (IEEE ICCI, 2010)

A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming. - Yujie Dai; Dongbin Zhao (ICNSC, 2010)

A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming. - Yujie Dai; Dongbin Zhao; Jianqiang Yi (IJCNN, 2010)

Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems. - Derong Liu 001; Ding Wang 001; Dongbin Zhao (ADPRL, 2011)

Supervised adaptive dynamic programming based adaptive cruise control. - Dongbin Zhao; Zhaohui Hu (ADPRL, 2011)

Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm. - Derong Liu 001; Ding Wang 001; Dongbin Zhao (IJCNN, 2011)

Neural network based online traffic signal controller design with reinforcement training. - Yujie Dai; Jinzong Hu; Dongbin Zhao; Fenghua Zhu (ITSC, 2011)

Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards. - Zhaohui Hu; Dongbin Zhao (J. Adv. Comput. Intell. Intell. Informatics, 2011)

DHP Method for Ramp Metering of Freeway Traffic. - Dongbin Zhao; Xuerui Bai; Fei-Yue Wang 001; Jing Xu; Wensheng Yu (IEEE Trans. Intell. Transp. Syst., 2011)

Guest Editorial Data-Based Control, Modeling, and Optimization. - Tianyou Chai; Zhongsheng Hou; Frank L. Lewis; Amir Hussain 001; Dongbin Zhao (IEEE Trans. Neural Networks, 2011)

SVM-Based Just-in-Time Adaptive Classifiers. - Cesare Alippi; Li Bu; Dongbin Zhao (ICONIP (2), 2012)

The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming. - Bin Wang 034; Dongbin Zhao (ICONIP (1), 2012)

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. - Zhen Ni; Haibo He; Dongbin Zhao; Danil V. Prokhorov (IJCNN, 2012)

Neural and fuzzy dynamic programming for under-actuated systems. - Dongbin Zhao; Yuanheng Zhu; Haibo He (IJCNN, 2012)

A Hierarchical Neural Network Architecture for Classification. - Jing Wang; Haibo He; Yuan Cao; Jin Xu; Dongbin Zhao (ISNN (1), 2012)

Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming. - Ding Wang 001; Derong Liu 001; Qinglai Wei; Dongbin Zhao; Ning Jin (Autom., 2012)

Data-driven optimal algorithms and their applications to pattern recognition. - Huaguang Zhang; Cesare Alippi; Dongbin Zhao (Neurocomputing, 2012)

Self-teaching adaptive dynamic programming for Gomoku. - Dongbin Zhao; Zhen Zhang 009; Yujie Dai (Neurocomputing, 2012)

Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming. - Derong Liu 001; Ding Wang 001; Dongbin Zhao; Qinglai Wei; Ning Jin (IEEE Trans Autom. Sci. Eng., 2012)

Computational Intelligence in Urban Traffic Signal Control: A Survey. - Dongbin Zhao; Yujie Dai; Zhen Zhang 009 (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition. - Zhen Ni; Xiao Fang; Haibo He; Dongbin Zhao; Xin Xu 001 (ADPRL, 2013)

Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. - Yuanheng Zhu; Dongbin Zhao (ICONIP (2), 2013)

Adaptive optimal control for the uncertain driving habit problem in adaptive cruise control system. - Dongbin Zhao; Zhongpu Xia (ICVES, 2013)

A prior-free encode-decode change detection test to inspect datastreams for concept drift. - Cesare Alippi; Li Bu; Dongbin Zhao (IJCNN, 2013)

Neural sliding-mode load frequency controller design of power systems. - Dianwei Qian; Dongbin Zhao; Jianqiang Yi; Xiangjie Liu (Neural Comput. Appl., 2013)

A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. - Ding Wang 001; Derong Liu 001; Dongbin Zhao; Yuzhu Huang; Dehua Zhang (Neural Comput. Appl., 2013)

Data-based control, optimization, modeling and applications. - Dongbin Zhao; Yi Shen 002; Zhanshan Wang; Xiaolin Hu 001 (Neural Comput. Appl., 2013)

Special issue on intelligent control and information processing. - Dongbin Zhao; Cesare Alippi; Derong Liu 001; Huaguang Zhang (Soft Comput., 2013)

A supervised Actor-Critic approach for adaptive cruise control. - Dongbin Zhao; Bin Wang 034; Derong Liu 001 (Soft Comput., 2013)

A data-based online reinforcement learning algorithm with high-efficient exploration. - Yuanheng Zhu; Dongbin Zhao (ADPRL, 2014)

A hierarchical classification algorithm for evaluating energy consumption behaviors. - Li Bu; Dongbin Zhao; Yu Liu 005; Qiang Guan (IJCNN, 2014)

A Kaiman filter-based actor-critic learning approach. - Bin Wang 034; Dongbin Zhao (IJCNN, 2014)

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. - Xiangnan Zhong; Zhen Ni; Haibo He; Xin Xu 001; Dongbin Zhao (IJCNN, 2014)

Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. - Bin Wang 034; Dongbin Zhao; Cesare Alippi; Derong Liu 001 (Neurocomputing, 2014)

Full-range adaptive cruise control based on supervised adaptive dynamic programming. - Dongbin Zhao; Zhaohui Hu; Zhongpu Xia; Cesare Alippi; Yuanheng Zhu; Ding Wang 001 (Neurocomputing, 2014)

Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. - Cesare Alippi; Derong Liu 001; Dongbin Zhao; Li Bu (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Thermal comfort control based on MEC algorithm for HVAC systems. - Dong Li 016; Dongbin Zhao; Yuanheng Zhu; Zhongpu Xia (IJCNN, 2015)

Online reinforcement learning by Bayesian inference. - Zhongpu Xia; Dongbin Zhao (IJCNN, 2015)

Event-Triggered H ∞ Control for Continuous-Time Nonlinear System. - Dongbin Zhao; Qichao Zhang; Xiangjun Li; Lingda Kong (ISNN, 2015)

A Pdf-Free Change Detection Test for Data Streams Monitoring. - Li Bu; Dongbin Zhao; Cesare Alippi (SSCI, 2015)

Computational Intelligence for Changing Environments [Guest Editorial]. - Amir Hussain 001; Dacheng Tao; Q. M. Jonathan Wu; Dongbin Zhao (IEEE Comput. Intell. Mag., 2015)

Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. - Yuanheng Zhu; Dongbin Zhao; Haibo He; Junhong Ji (Cogn. Comput., 2015)

Computational Energy Management in Smart Grids. - Stefano Squartini; Derong Liu 001; Francesco Piazza; Dongbin Zhao; Haibo He (Neurocomputing, 2015)

Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. - Yuanheng Zhu; Dongbin Zhao; Derong Liu 001 (Neurocomputing, 2015)

A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. - Yuanheng Zhu; Dongbin Zhao (Neural Comput. Appl., 2015)

Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis. - Dongbin Zhao; Zhongpu Xia; Ding Wang 001 (IEEE Trans Autom. Sci. Eng., 2015)

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. - Zhen Ni; Haibo He; Dongbin Zhao; Xin Xu 001; Danil V. Prokhorov (IEEE Trans. Neural Networks Learn. Syst., 2015)

MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. - Dongbin Zhao; Yuanheng Zhu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. - Qichao Zhang; Dongbin Zhao; Ding Wang 001 (ICCSIP, 2016)

Ensemble LSDD-based change detection tests. - Li Bu; Cesare Alippi; Dongbin Zhao (IJCNN, 2016)

A general adaptive dynamic programming approach with experience replay. - Bin Wang 034; Dongbin Zhao; Jin Cheng 004; Yuan Xu 003; Yueyang Li (IJCNN, 2016)

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. - Qichao Zhang; Dongbin Zhao; Yuanheng Zhu; Xi Chen (IJCNN, 2016)

Convolutional fitted Q iteration for vision-based control problems. - Dongbin Zhao; Yuanheng Zhu; Le Lv; Yaran Chen; Qichao Zhang (IJCNN, 2016)

Image clustering based on deep sparse representations. - Le Lv; Dongbin Zhao; Qingqiong Deng (SSCI, 2016)

ADP with MCTS algorithm for Gomoku. - Zhentao Tang; Dongbin Zhao; Kun Shao; Le Lv (SSCI, 2016)

Deep reinforcement learning with experience replay based on SARSA. - Dongbin Zhao; Haitao Wang 029; Kun Shao; Yuanheng Zhu (SSCI, 2016)

Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. - Dongbin Zhao; Qichao Zhang; Ding Wang 001; Yuanheng Zhu (IEEE Trans. Cybern., 2016)

Fuzzy-Based Goal Representation Adaptive Dynamic Programming. - Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu 001 (IEEE Trans. Fuzzy Syst., 2016)

Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. - Ding Wang 001; Derong Liu 001; Qichao Zhang; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2016)

FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent. - Zhen Zhang 009; Dongqing Wang; Dongbin Zhao; Tingting Song (ICONIP (1), 2017)

Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. - Qichao Zhang; Dongbin Zhao; Sibo Zhang (ICONIP (1), 2017)

Policy gradient methods with Gaussian process modelling acceleration. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Chaomin Luo (IJCNN, 2017)

Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection. - Yaran Chen; Dongbin Zhao (ISNN (1), 2017)

Cooperative reinforcement learning for multiple units combat in starCraft. - Kun Shao; Yuanheng Zhu; Dongbin Zhao (SSCI, 2017)

Event-triggered integral reinforcement learning for nonlinear continuous-time systems. - Qichao Zhang; Dongbin Zhao (SSCI, 2017)

Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]. - Dongbin Zhao; Zhongpu Xia; Qichao Zhang (IEEE Comput. Intell. Mag., 2017)

A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning. - Le Lv; Dongbin Zhao; Qingqiong Deng (Cogn. Comput., 2017)

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. - Qichao Zhang; Dongbin Zhao; Yuanheng Zhu (Neurocomputing, 2017)

Deep Reinforcement Learning With Visual Attention for Vehicle Classification. - Dongbin Zhao; Yaran Chen; Le Lv (IEEE Trans. Cogn. Dev. Syst., 2017)

FMRQ - A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks. - Zhen Zhang 009; Dongbin Zhao; Junwei Gao; Dongqing Wang; Yujie Dai (IEEE Trans. Cybern., 2017)

Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. - Yuanheng Zhu; Dongbin Zhao; Haibo He; Junhong Ji (IEEE Trans. Ind. Electron., 2017)

Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control. - Yong-Duan Song; Frank L. Lewis; Marios M. Polycarpou; Danil V. Prokhorov; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2017)

Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. - Yuanheng Zhu; Dongbin Zhao; Xiangjun Li (IEEE Trans. Neural Networks Learn. Syst., 2017)

An Incremental Change Detection Test Based on Density Difference Estimation. - Li Bu; Dongbin Zhao; Cesare Alippi (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Event-Triggered H∞ Control for Continuous-Time Nonlinear System via Concurrent Learning. - Qichao Zhang; Dongbin Zhao; Yuanheng Zhu (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Learning Battles in ViZDoom via Deep Reinforcement Learning. - Kun Shao; Dongbin Zhao; Nannan Li 003; Yuanheng Zhu (CIG, 2018)

An Efficient Network for Lane Segmentation. - Haoran Li 010; Dongbin Zhao; Yaran Chen; Qichao Zhang (ICCSIP (1), 2018)

Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems. - Qichao Zhang; Dongbin Zhao (ICONIP (7), 2018)

Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator. - Yuanheng Zhu; Dongbin Zhao (ICONIP (3), 2018)

A temporal-based deep learning method for multiple objects detection in autonomous driving. - Yaran Chen; Dongbin Zhao; Haoran Li 010; Dong Li 016; Ping Guo 002 (IJCNN, 2018)

DeepSign: Deep Learning based Traffic Sign Recognition. - Dong Li 016; Dongbin Zhao; Yaran Chen; Qichao Zhang (IJCNN, 2018)

Visual Navigation with Actor-Critic Deep Reinforcement Learning. - Kun Shao; Dongbin Zhao; Yuanheng Zhu; Qichao Zhang (IJCNN, 2018)

Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. - Qichao Zhang; Dongbin Zhao; Frank L. Lewis (IJCNN, 2018)

An Autonomous Driving Experience Platform with Learning-Based Functions. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yuanheng Zhu (SSCI, 2018)

A Review of Computational Intelligence for StarCraft AI. - Zhentao Tang; Kun Shao; Yuanheng Zhu; Dong Li 016; Dongbin Zhao; Tingwen Huang (SSCI, 2018)

A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents. - Zhen Zhang 009; Dongqing Wang; Dongbin Zhao; Qiaoni Han; Tingting Song (IEEE Access, 2018)

Comprehensive comparison of online ADP algorithms for continuous-time optimal control. - Yuanheng Zhu; Dongbin Zhao (Artif. Intell. Rev., 2018)

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (CoRR, 2018)

Multi-task learning for dangerous object detection in autonomous driving. - Yaran Chen; Dongbin Zhao; Le Lv; Qichao Zhang (Inf. Sci., 2018)

Policy Iteration for H∞ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. - Yuanheng Zhu; Dongbin Zhao; Xiong Yang 001; Qichao Zhang (IEEE Trans. Cybern., 2018)

A pdf-Free Change Detection Test Based on Density Difference Estimation. - Li Bu; Cesare Alippi; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. - Qichao Zhang; Dongbin Zhao; Ding Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. - Dongbin Zhao; Derong Liu 001; Frank L. Lewis; José C. Príncipe; Stefano Squartini (IEEE Trans. Neural Networks Learn. Syst., 2018)

Auto-encoder based Graph Convolutional Networks for Online Financial Anti-fraud. - Le Lv; Jianbo Cheng; Nanbo Peng; Min Fan; Dongbin Zhao; Jianhong Zhang (CIFEr, 2019)

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. - Junjie Wang; Qichao Zhang; Dongbin Zhao; Yaran Chen (IJCNN, 2019)

Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. - Qichao Zhang; Rui Luo; Dongbin Zhao; Chaomin Luo; Dianwei Qian (IJCNN, 2019)

Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. - Yuanheng Zhu; Haibo He; Dongbin Zhao; Zhongsheng Hou (IJCNN, 2019)

Pseudoinverse Learners: New Trend and Applications to Big Data. - Ping Guo 002; Dongbin Zhao; Min Han 001; Shoubo Feng (INNSBDDL, 2019)

Graph-FCN for Image Semantic Segmentation. - Yi Lu; Yaran Chen; Dongbin Zhao; Jianxin Chen (ISNN (1), 2019)

Deep Kalman Filter with Optical Flow for Multiple Object Tracking. - Yaran Chen; Dongbin Zhao; Haoran Li 010 (SMC, 2019)

Simplified Space Based Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 2019)

Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. - Dong Li 016; Dongbin Zhao; Qichao Zhang (SSCI, 2019)

Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. - Weifan Li; Yuanheng Zhu; Dongbin Zhao (SSCI, 2019)

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (IEEE Comput. Intell. Mag., 2019)

Deep Reinforcement Learning and Games [Guest Editorial]. - Dongbin Zhao; Simon M. Lucas; Julian Togelius (IEEE Comput. Intell. Mag., 2019)

Graph Attention Memory for Visual Navigation. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yuzheng Zhuang; Bin Wang 034 (CoRR, 2019)

A Survey of Deep Reinforcement Learning in Video Games. - Kun Shao; Zhentao Tang; Yuanheng Zhu; Nannan Li 003; Dongbin Zhao (CoRR, 2019)

Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. - Le Lv; Dongbin Zhao; Kun Shao (Soft Comput., 2019)

Adaptive cruise control via adaptive dynamic programming with experience replay. - Bin Wang 034; Dongbin Zhao; Jin Cheng 004 (Soft Comput., 2019)

Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. - Yuanheng Zhu; Dongbin Zhao; Zhiguang Zhong (IEEE Trans. Control. Syst. Technol., 2019)

Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. - Qichao Zhang; Dongbin Zhao (IEEE Trans. Cybern., 2019)

StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. - Kun Shao; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. - Yuanheng Zhu; Dongbin Zhao; Xiangjun Li; Ding Wang 001 (IEEE Trans. Smart Grid, 2019)

Shift-Invariant Convolutional Network Search. - Nannan Li 003; Yaran Chen; Zixiang Ding; Dongbin Zhao (IJCNN, 2020)

RailNet: An Information Aggregation Network for Rail Track Segmentation. - Haoran Li 010; Qichao Zhang; Dongbin Zhao; Yaran Chen (IJCNN, 2020)

An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. - Minsong Liu; Yuanheng Zhu; Dongbin Zhao (IJCNN, 2020)

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. - Kun Shao; Yuanheng Zhu; Zhentao Tang; Dongbin Zhao (IJCNN, 2020)

ContourRend: A Segmentation Method for Improving Contours by Rendering. - Junwen Chen; Yi Lu; Yaran Chen; Dongbin Zhao; Zhonghua Pang (ISNN, 2020)

Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization. - Jiasen Wang; Jun Wang 002; Dongbin Zhao (ISNN, 2020)

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 2020)

Efficient Neural Architecture Search: A Broad Version. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (CoRR, 2020)

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2020)

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao; Mengchen Zhao; Jianye Hao (CoRR, 2020)

Heuristic Rank Selection with Progressively Searching Tensor Ring Network. - Nannan Li 003; Yu Pan 005; Yaran Chen; Zixiang Ding; Dongbin Zhao; Zenglin Xu (CoRR, 2020)

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. - Guangzheng Hu; Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Jianye Hao (CoRR, 2020)

A spatial-temporal attention model for human trajectory prediction. - Xiaodong Zhao; Yaran Chen; Jin Guo 003; Dongbin Zhao (IEEE CAA J. Autom. Sinica, 2020)

Advances in deep neural information processing. - Dongbin Zhao; Shukai Duan 001; Zheng Yan 001; Cesare Alippi (Neurocomputing, 2020)

Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. - Chaoxu Mu; Ke Wang 037; Qichao Zhang; Dongbin Zhao (Inf. Sci., 2020)

LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. - Yuanheng Zhu; Haibo He; Dongbin Zhao (IEEE Trans. Intell. Transp. Syst., 2020)

Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. - Haoran Li 010; Qichao Zhang; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. - Yuanheng Zhu; Dongbin Zhao; Haibo He (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. - Yuanheng Zhu; Dongbin Zhao; Haibo He (IEEE Trans. Veh. Technol., 2020)

Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao (ICRAI, 2021)

A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. - Yuqi Liu; Qichao Zhang; Dongbin Zhao (SSCI, 2021)

MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. - Haoran Li 010; Zicheng Duan; Mingjun Ma; Yaran Chen; Jiaqi Li; Dongbin Zhao (CoRR, 2021)

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (CoRR, 2021)

Empirical Policy Optimization for n-Player Markov Games. - Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Dong Li 016 (CoRR, 2021)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2021)

MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. - Yi Lu; Yaran Chen; Dongbin Zhao; Dong Li 016 (Neurocomputing, 2021)

CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. - Yi Lu; Yaran Chen; Dongbin Zhao; Bao Liu; Zhichao Lai; Jianxin Chen (IEEE Trans. Cogn. Dev. Syst., 2021)

Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. - Yuanheng Zhu; Dongbin Zhao; Haibo He (IEEE Trans Autom. Sci. Eng., 2021)

LILAC: Learning a Leader for Cooperative Reinforcement Learning. - Yuqian Fu; Jiajun Chai; Yuanheng Zhu; Dongbin Zhao (CoG, 2022)

GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. - Ding Li; Qichao Zhang; Shuai Lu; Yifeng Pan; Dongbin Zhao (DMBD (1), 2022)

Neurons Perception Dataset for RoboMaster AI Challenge. - Haoran Li 010; Zicheng Duan; Jiaqi Li; Mingjun Ma; Yaran Chen; Dongbin Zhao (IJCNN, 2022)

Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. - Xing Fang; Qichao Zhang; Yinfeng Gao; Dongbin Zhao (ITSC, 2022)

BViT: Broad Attention based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao (CoRR, 2022)

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. - Yuqi Liu; Qichao Zhang; Dongbin Zhao (CoRR, 2022)

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. - Jiajun Chai; Weifan Li; Yuanheng Zhu; Dongbin Zhao; Zhe Ma; Kewu Sun; Jishiyu Ding (CoRR, 2022)

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. - Jiajun Chai; Yuanheng Zhu; Dongbin Zhao (CoRR, 2022)

Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. - Ding Li; Qichao Zhang; Shuai Lu; Yifeng Pan; Dongbin Zhao (CoRR, 2022)

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. - Junjie Wang; Yao Mu 001; Dong Li 016; Qichao Zhang; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (CoRR, 2022)

Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao (IEEE CAA J. Autom. Sinica, 2022)

ModuleNet: Knowledge-Inherited Neural Architecture Search. - Yaran Chen; Ruiyuan Gao 001; Fenggang Liu; Dongbin Zhao (IEEE Trans. Cybern., 2022)

BiFNet: Bidirectional Fusion Network for Road Segmentation. - Haoran Li 010; Yaran Chen; Qichao Zhang; Dongbin Zhao (IEEE Trans. Cybern., 2022)

TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. - Qichao Zhang; Yinfeng Gao; Yikang Zhang; Youtian Guo; Dawei Ding 001; Yunpeng Wang; Peng Sun; Dongbin Zhao (IEEE Trans. Intell. Transp. Syst., 2022)

Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. - Yaran Chen; Haoran Li 010; Ruiyuan Gao 001; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2022)

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; Zhiquan Sun; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. - Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2022)

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. - Yupeng Zheng; Chengliang Zhong; Pengfei Li 007; Huan-ang Gao; Yuhang Zheng; Bu Jin; Ling Wang 001; Hao Zhao 002; Guyue Zhou; Qichao Zhang; Dongbin Zhao (ICRA, 2023)

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. - Guangzheng Hu; Haoran Li 010; Shasha Liu; Yuanheng Zhu; Dongbin Zhao (IJCNN, 2023)

Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. - Nannan Li 003; Yaran Chen; Dongbin Zhao (IJCNN, 2023)

Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. - Weifan Li; Yuanheng Zhu; Dongbin Zhao (IJCNN, 2023)

NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning. - Haoran Li 010; Shasha Liu; Mingjun Ma; Guangzheng Hu; Yaran Chen; Dongbin Zhao (CoRR, 2023)

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. - Xin Liu 039; Yaran Chen; Haoran Li 010; Boyu Li 003; Dongbin Zhao (CoRR, 2023)

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. - Guangzheng Hu; Haoran Li 010; Shasha Liu; Mingjun Ma; Yuanheng Zhu; Dongbin Zhao (CoRR, 2023)

Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving. - Ding Li; Qichao Zhang; Zhongpu Xia; Kuan Zhang 004; Menglong Yi; Wenda Jin; Dongbin Zhao (CoRR, 2023)

Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. - Runyu Lu; Yuanheng Zhu; Dongbin Zhao (CoRR, 2023)

Multi-modal Learning based Prediction for Disease. - Yaran Chen; Xueyu Chen; Yu Han; Haoran Li 010; Dongbin Zhao; Jingzhong Li; Xu Wang (CoRR, 2023)

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. - Xin Liu 039; Yaran Chen; Dongbin Zhao (CoRR, 2023)

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks. - Yaran Chen; Wenbo Cui; Yuanwen Chen; Mining Tan; Xinyao Zhang; Dongbin Zhao; He Wang 010 (CoRR, 2023)

Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. - Zhentao Tang; Yuanheng Zhu; Dongbin Zhao; Simon M. Lucas (IEEE Trans. Games, 2023)

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. - Jiajun Chai; Weifan Li; Yuanheng Zhu; Dongbin Zhao; Zhe Ma; Kewu Sun; Jishiyu Ding (IEEE Trans. Neural Networks Learn. Syst., 2023)

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. - Guangzheng Hu; Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Jianye Hao (IEEE Trans. Neural Networks Learn. Syst., 2023)

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2023)

Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning. - Minsong Liu; Luntong Li; Shuai Hao; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2023)

A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. - Jiajun Chai; Wenzhang Chen; Yuanheng Zhu; Zong-xin Yao; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Empirical Policy Optimization for n-Player Markov Games. - Yuanheng Zhu; Weifan Li; Mengchen Zhao; Jianye Hao; Dongbin Zhao (IEEE Trans. Cybern., 2023)

Multi-task safe reinforcement learning for navigating intersections in dense traffic. - Yuqi Liu; Yinfeng Gao; Qichao Zhang; Dawei Ding 001; Dongbin Zhao (J. Frankl. Inst., 2023)

Vision-based control in the open racing car simulator with deep and reinforcement learning. - Yuanheng Zhu; Dongbin Zhao (J. Ambient Intell. Humaniz. Comput., 2023)

Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. - Jiajun Chai; Yuqian Fu; Dongbin Zhao; Yuanheng Zhu (AAMAS, 2024)

Boosting Continuous Control with Consistency Policy. - Yuhui Chen; Haoran Li 010; Dongbin Zhao (AAMAS, 2024)

Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents. - Yuanwen Chen; Xinyao Zhang; Yaran Chen; Dongbin Zhao; Yunzhen Zhao; Zhe Zhao; Pengfei Hu 004 (ICME, 2024)

High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning. - Qichao Zhang; Xing Fang; Kaixuan Xu; Weixin Zhao; Haoran Li 010; Dongbin Zhao (IJCNN, 2024)

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. - Haoran Li 010; Zhennan Jiang; Yuhui Chen; Dongbin Zhao (NeurIPS, 2024)

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. - Zhi Wang; Li Zhang; Wenhao Wu; Yuanheng Zhu; Dongbin Zhao; Chunlin Chen (NeurIPS, 2024)

User Response Modeling in Reinforcement Learning for Ads Allocation. - Zhiyuan Zhang; Qichao Zhang; Xiaoxu Wu; Xiaowen Shi; Guogang Liao; Yongkang Wang 011; Xingxing Wang; Dongbin Zhao (WWW (Companion Volume), 2024)

Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. - Mengying Lin; Yaran Chen; Dongbin Zhao; Zhaoran Wang 001 (CoRR, 2024)

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. - Xin Liu 039; Yaran Chen; Dongbin Zhao (CoRR, 2024)

PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. - Yupeng Zheng; Zebin Xing; Qichao Zhang; Bu Jin; Pengfei Li 007; Yuhang Zheng; Zhongpu Xia; Kun Zhan; Xianpeng Lang; Yaran Chen; Dongbin Zhao (CoRR, 2024)

SELU: Self-Learning Embodied MLLMs in Unknown Environments. - Boyu Li 003; Haobin Jiang; Ziluo Ding; Xinrun Xu; Haoran Li 010; Dongbin Zhao; Zongqing Lu 002 (CoRR, 2024)

CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration. - Yuqian Fu; Yuanheng Zhu; Haoran Li 010; Zijie Zhao; Jiajun Chai; Dongbin Zhao (CoRR, 2024)

Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving. - Yupeng Zheng; Zhongpu Xia; Qichao Zhang; Teng Zhang; Ben Lu; Xiaochuang Huo; Chao Han; Yixian Li; Mengjie Yu; Bu Jin; Pengxuan Yang; Yuhang Zheng; et al. (CoRR, 2024)

Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving. - Ding Li; Qichao Zhang; Zhongpu Xia; Yupeng Zheng; Kuan Zhang 004; Menglong Yi; Wenda Jin; Dongbin Zhao (IEEE Trans. Intell. Veh., 2024)

Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems. - Yong Zhang 021; Chaoxu Mu; Dongbin Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. - Junjie Wang; Qichao Zhang; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. - Boyu Li 003; Haoran Li 010; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2024)

Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility. - Haoran Li 010; Yaocheng Zhang; Haowei Wen; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Artif. Intell., 2024)

Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. - Minsong Liu; Yuanheng Zhu; Yaran Chen; Dongbin Zhao (IEEE Trans. Artif. Intell., 2024)

Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Yao Mu 001; Dong Li 016; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (IEEE Trans. Ind. Informatics, 2024)

BViT: Broad Attention-Based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao; Shuai Nie (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks. - Yuqi Liu; Qichao Zhang; Yinfeng Gao; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2024)

FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. - Guangzheng Hu; Yuanheng Zhu; Haoran Li 010; Dongbin Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Dream to Drive With Predictive Individual World Model. - Yinfeng Gao; Qichao Zhang; Dawei Ding 001; Dongbin Zhao (IEEE Trans. Intell. Veh., 2024)

NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning. - Jiajun Chai; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles. - Ding Li; Qichao Zhang; Shuai Lu; Yifeng Pan; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. - Songjun Tu; Jingbo Sun; Qichao Zhang; Yaocheng Zhang; Jia Liu; Ke Chen; Dongbin Zhao (AAAI, 2025)

Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning. - Jiajun Chai; Sicheng Li; Yuqian Fu; Dongbin Zhao; Yuanheng Zhu (ICLR, 2025)

INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning. - Yuqian Fu; Yuanheng Zhu; Jian Zhao; Jiajun Chai; Dongbin Zhao (ICLR, 2025)

Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games. - Runyu Lu; Yuanheng Zhu; Dongbin Zhao (ICLR, 2025)

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. - Jingbo Sun; Songjun Tu; Qichao Zhang; Haoran Li 010; Xin Liu 039; Yaran Chen; Ke Chen; Dongbin Zhao (ICLR, 2025)

Consistency Policy with Categorical Critic for Autonomous Driving. - Xing Fang; Qichao Zhang; Haoran Li 010; Dongbin Zhao (AAMAS, 2025)

Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. - Jingbo Sun; Songjun Tu; Qichao Zhang; Ke Chen; Dongbin Zhao (AAMAS, 2025)

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. - Songjun Tu; Jingbo Sun; Qichao Zhang; Xiangyuan Lan; Dongbin Zhao (AAMAS, 2025)

Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning. - Yaocheng Zhang; Yuanheng Zhu; Yuqian Fu; Songjun Tu; Dongbin Zhao (AAMAS, 2025)

Adaptive search for broad attention based vision transformers. - Nannan Li 003; Yaran Chen; Dongbin Zhao (Neurocomputing, 2025)

Multi-Task Multi-Agent Reinforcement Learning With Task-Entity Transformers and Value Decomposition Training. - Yuanheng Zhu; Shangjing Huang; Binbin Zuo; Dongbin Zhao; Changyin Sun 001 (IEEE Trans Autom. Sci. Eng., 2025)

LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks. - Yuqian Fu; Yuanheng Zhu; Jiajun Chai; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2025)

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy. - Yuhui Chen; Shuai Tian; Shugao Liu; Yingting Zhou; Haoran Li 010; Dongbin Zhao (CoRR, 2025)

FetchBot: Object Fetching in Cluttered Shelves via Zero-Shot Sim2Real. - Weiheng Liu; Yuxuan Wan; Jilong Wang 014; Yuxuan Kuang; Xuesong Shi; Haoran Li 010; Dongbin Zhao; Zhizheng Zhang 011; He Wang 010 (CoRR, 2025)

Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. - Songjun Tu; Jiahao Lin; Xiangyu Tian; Qichao Zhang; Linjing Li; Yuqian Fu; Nan Xu; Wei He; Xiangyuan Lan; Dongmei Jiang; Dongbin Zhao (CoRR, 2025)

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty. - Pengxuan Yang; Yupeng Zheng; Qichao Zhang; Kefei Zhu; Zebin Xing; Qiao Lin; Yun-Fu Liu; Zhiguo Su; Dongbin Zhao (CoRR, 2025)

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL. - Songjun Tu; Jiahao Lin; Qichao Zhang; Xiangyu Tian; Linjing Li; Xiangyuan Lan; Dongbin Zhao (CoRR, 2025)

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning. - Yuhui Chen; Haoran Li 010; Zhennan Jiang; Haowei Wen; Dongbin Zhao (CoRR, 2025)

ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving. - Xueyi Liu; Zuodong Zhong; Yuxin Guo; Yun-Fu Liu; Zhiguo Su; Qichao Zhang; Junli Wang; Yinfeng Gao; Yupeng Zheng; Qiao Lin; Huiyong Chen; Dongbin Zhao (CoRR, 2025)

Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery. - Xin Liu 039; Yaran Chen; Guixing Chen; Haoran Li 010; Dongbin Zhao (IEEE Trans. Cybern., 2025)

Cross-Domain Random Pretraining With Prototypes for Reinforcement Learning. - Xin Liu 039; Yaran Chen; Haoran Li 010; Boyu Li 003; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2025)

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. - Yuqian Fu; Yuanheng Zhu; Jiajun Chai; Guojun Yin; Wei Lin; Qichao Zhang; Dongbin Zhao (CoRR, 2025)

DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. - Kaixuan Xu; Jiajun Chai; Sicheng Li; Yuqian Fu; Yuanheng Zhu; Dongbin Zhao (CoRR, 2025)

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning. - Yuqian Fu; Tinghong Chen; Jiajun Chai; Xihuai Wang; Songjun Tu; Guojun Yin; Wei Lin; Qichao Zhang; Yuanheng Zhu; Dongbin Zhao (CoRR, 2025)

NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning. - Haoran Li 010; Guangzheng Hu; Shasha Liu; Mingjun Ma; Yaran Chen; Dongbin Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning. - Yuanyang Zhu; Zhi Wang; Yuanheng Zhu; Chunlin Chen; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model. - Yupeng Zheng; Pengxuan Yang; Zebin Xing; Qichao Zhang; Yuhang Zheng; Yinfeng Gao; Pengfei Li 007; Teng Zhang; Zhongpu Xia; Peng Jia; Dongbin Zhao (CoRR, 2025)

CL3R: 3D Reconstruction and Contrastive Learning for Enhanced Robotic Manipulation Representations. - Wenbo Cui; Chengyang Zhao; Yuhui Chen; Haoran Li 010; Zhizheng Zhang 011; Dongbin Zhao; He Wang 010 (CoRR, 2025)

Survey of Vision-Language-Action Models for Embodied Manipulation. - Haoran Li 010; Yuhui Chen; Wenbo Cui; Weiheng Liu; Kai Liu; Mingcai Zhou; Zhengtao Zhang; Dongbin Zhao (CoRR, 2025)

Last-Iterate Convergence to Approximate Nash Equilibria in Multiplayer Imperfect Information Games. - Runyu Lu; Yuanheng Zhu; Dongbin Zhao; Yu Liu 005; You He (IEEE Trans. Neural Networks Learn. Syst., 2025)

Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference. - Zijie Zhao; Yuqian Fu; Jiajun Chai; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)