Dongbin Zhao

Orcid: 0000-0001-8218-9633

According to our database1, Dongbin Zhao authored at least 249 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024

Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer.
CoRR, 2024

FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game.
CoRR, 2024

2023
Vision-based control in the open racing car simulator with deep and reinforcement learning.
J. Ambient Intell. Humaniz. Comput., December, 2023

Multi-task safe reinforcement learning for navigating intersections in dense traffic.
J. Frankl. Inst., November, 2023

Empirical Policy Optimization for n-Player Markov Games.
IEEE Trans. Cybern., October, 2023

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst., September, 2023

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition.
IEEE Trans. Games, March, 2023

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks.
CoRR, 2023

Boosting Continuous Control with Consistency Policy.
CoRR, 2023

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery.
CoRR, 2023

Multi-modal Learning based Prediction for Disease.
CoRR, 2023

Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information.
CoRR, 2023

Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving.
CoRR, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
CoRR, 2023

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning.
CoRR, 2023

NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.
CoRR, 2023

Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2023

STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games.
IEEE Trans. Neural Networks Learn. Syst., 2022

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2022

Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss.
IEEE Trans. Neural Networks Learn. Syst., 2022

TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

BiFNet: Bidirectional Fusion Network for Road Segmentation.
IEEE Trans. Cybern., 2022

ModuleNet: Knowledge-Inherited Neural Architecture Search.
IEEE Trans. Cybern., 2022

Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.
CoRR, 2022

Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation.
CoRR, 2022

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios.
CoRR, 2022

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios.
CoRR, 2022

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic.
CoRR, 2022

BViT: Broad Attention based Vision Transformer.
CoRR, 2022

Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Neurons Perception Dataset for RoboMaster AI Challenge.
Proceedings of the International Joint Conference on Neural Networks, 2022

GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

LILAC: Learning a Leader for Cooperative Reinforcement Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors.
IEEE Trans Autom. Sci. Eng., 2021

CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis.
IEEE Trans. Cogn. Dev. Syst., 2021

MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation.
Neurocomputing, 2021

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
CoRR, 2021

Empirical Policy Optimization for n-Player Markov Games.
CoRR, 2021

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search.
CoRR, 2021

MVM3Det: A Novel Method for Multi-view Monocular 3D Detection.
CoRR, 2021

A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

2020
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies.
IEEE Trans. Veh. Technol., 2020

Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment.
IEEE Trans. Neural Networks Learn. Syst., 2020

LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2020

Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game.
Inf. Sci., 2020

Advances in deep neural information processing.
Neurocomputing, 2020

A spatial-temporal attention model for human trajectory prediction.
IEEE CAA J. Autom. Sinica, 2020

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.
CoRR, 2020

Heuristic Rank Selection with Progressively Searching Tensor Ring Network.
CoRR, 2020

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning.
CoRR, 2020

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate.
CoRR, 2020

Efficient Neural Architecture Search: A Broad Version.
CoRR, 2020

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

ContourRend: A Segmentation Method for Improving Contours by Rendering.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

RailNet: An Information Aggregation Network for Rail Track Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Shift-Invariant Convolutional Network Search.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems.
IEEE Trans. Smart Grid, 2019

StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics.
IEEE Trans. Cybern., 2019

Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics.
IEEE Trans. Control. Syst. Technol., 2019

Adaptive cruise control via adaptive dynamic programming with experience replay.
Soft Comput., 2019

Deep sparse representation-based mid-level visual elements discovery in fine-grained classification.
Soft Comput., 2019

A Survey of Deep Reinforcement Learning in Video Games.
CoRR, 2019

Graph Attention Memory for Visual Navigation.
CoRR, 2019

Deep Reinforcement Learning and Games [Guest Editorial].
IEEE Comput. Intell. Mag., 2019

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes].
IEEE Comput. Intell. Mag., 2019

Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Simplified Space Based Neural Architecture Search.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Deep Kalman Filter with Optical Flow for Multiple Object Tracking.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Graph-FCN for Image Semantic Segmentation.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Pseudoinverse Learners: New Trend and Applications to Big Data.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2019

Model-Free Reinforcement Learning based Lateral Control for Lane Keeping.
Proceedings of the International Joint Conference on Neural Networks, 2019

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints.
Proceedings of the International Joint Conference on Neural Networks, 2019

Auto-encoder based Graph Convolutional Networks for Online Financial Anti-fraud.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

2018
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2018

Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2018

A pdf-Free Change Detection Test Based on Density Difference Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Policy Iteration for H<sub>∞</sub> Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming.
IEEE Trans. Cybern., 2018

Multi-task learning for dangerous object detection in autonomous driving.
Inf. Sci., 2018

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving.
CoRR, 2018

Comprehensive comparison of online ADP algorithms for continuous-time optimal control.
Artif. Intell. Rev., 2018

A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents.
IEEE Access, 2018

A Review of Computational Intelligence for StarCraft AI.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

An Autonomous Driving Experience Platform with Learning-Based Functions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Visual Navigation with Actor-Critic Deep Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

DeepSign: Deep Learning based Traffic Sign Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A temporal-based deep learning method for multiple objects detection in autonomous driving.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

An Efficient Network for Lane Segmentation.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

Learning Battles in ViZDoom via Deep Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
Event-Triggered H<sub>∞</sub> Control for Continuous-Time Nonlinear System via Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2017

An Incremental Change Detection Test Based on Density Difference Estimation.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data.
IEEE Trans. Neural Networks Learn. Syst., 2017

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., 2017

Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2017

FMRQ - A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks.
IEEE Trans. Cybern., 2017

Deep Reinforcement Learning With Visual Attention for Vehicle Classification.
IEEE Trans. Cogn. Dev. Syst., 2017

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs.
Neurocomputing, 2017

A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning.
Cogn. Comput., 2017

Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier].
IEEE Comput. Intell. Mag., 2017

Event-triggered integral reinforcement learning for nonlinear continuous-time systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Cooperative reinforcement learning for multiple units combat in starCraft.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Policy gradient methods with Gaussian process modelling acceleration.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst., 2016

Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2016

Deep reinforcement learning with experience replay based on SARSA.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

ADP with MCTS algorithm for Gomoku.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Image clustering based on deep sparse representations.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Convolutional fitted Q iteration for vision-based control problems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A general adaptive dynamic programming approach with experience replay.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Ensemble LSDD-based change detection tests.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems.
Proceedings of the Cognitive Systems and Signal Processing, 2016

2015
MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015

Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis.
IEEE Trans Autom. Sci. Eng., 2015

A data-based online reinforcement learning algorithm satisfying probably approximately correct principle.
Neural Comput. Appl., 2015

Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems.
Neurocomputing, 2015

Computational Energy Management in Smart Grids.
Neurocomputing, 2015

Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems.
Cogn. Comput., 2015

Computational Intelligence for Changing Environments [Guest Editorial].
IEEE Comput. Intell. Mag., 2015

A Pdf-Free Change Detection Test for Data Streams Monitoring.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Event-Triggered H ∞ Control for Continuous-Time Nonlinear System.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Online reinforcement learning by Bayesian inference.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Thermal comfort control based on MEC algorithm for HVAC systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Full-range adaptive cruise control based on supervised adaptive dynamic programming.
Neurocomputing, 2014

Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay.
Neurocomputing, 2014

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Kaiman filter-based actor-critic learning approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A hierarchical classification algorithm for evaluating energy consumption behaviors.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A data-based online reinforcement learning algorithm with high-efficient exploration.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
A supervised Actor-Critic approach for adaptive cruise control.
Soft Comput., 2013

Special issue on intelligent control and information processing.
Soft Comput., 2013

Data-based control, optimization, modeling and applications.
Neural Comput. Appl., 2013

A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints.
Neural Comput. Appl., 2013

Neural sliding-mode load frequency controller design of power systems.
Neural Comput. Appl., 2013

A prior-free encode-decode change detection test to inspect datastreams for concept drift.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Adaptive optimal control for the uncertain driving habit problem in adaptive cruise control system.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2013

Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
Computational Intelligence in Urban Traffic Signal Control: A Survey.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming.
IEEE Trans Autom. Sci. Eng., 2012

Self-teaching adaptive dynamic programming for Gomoku.
Neurocomputing, 2012

Data-driven optimal algorithms and their applications to pattern recognition.
Neurocomputing, 2012

Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming.
Autom., 2012

A Hierarchical Neural Network Architecture for Classification.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Neural and fuzzy dynamic programming for under-actuated systems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

SVM-Based Just-in-Time Adaptive Classifiers.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Guest Editorial Data-Based Control, Modeling, and Optimization.
IEEE Trans. Neural Networks, 2011

DHP Method for Ramp Metering of Freeway Traffic.
IEEE Trans. Intell. Transp. Syst., 2011

Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards.
J. Adv. Comput. Intell. Intell. Informatics, 2011

Neural network based online traffic signal controller design with reinforcement training.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Supervised adaptive dynamic programming based adaptive cruise control.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2010

A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

Reinforcement learning for multi-agent patrol policy.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Adaptive Integrated Control for Omnidirectional Mobile Manipulators Based on Neural-Network.
Int. J. Cogn. Informatics Nat. Intell., 2009

Genetic Algorithm-Based Fuzzy Controller To Avoid Network Congestion.
Intell. Autom. Soft Comput., 2009

Fuzzy logic based adjustment control of a cable-driven auto-leveling parallel robot.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming.
Proceedings of the International Joint Conference on Neural Networks, 2009

Analysis and design of monotonic type-2 fuzzy inference systems.
Proceedings of the FUZZ-IEEE 2009, 2009

Control of the TORA system using SIRMs based type-2 fuzzy logic.
Proceedings of the FUZZ-IEEE 2009, 2009

Control of a rope-driven self-leveling device for leveling adjustment.
Proceedings of the American Control Conference, 2009

ADHDP(λ) strategies based coordinated ramps metering with queuing consideration.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
DynaCAS: Computational Experiments and Decision Support for ITS.
IEEE Intell. Syst., 2008

Adaptive Dynamic Programming for Multi-intersections Traffic Signal Intelligent Control.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Coordinated Control of Multiple Ramp Metering Based on DHP (λ) Controller.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Adaptive dynamic neuro-fuzzy system for traffic signal control.
Proceedings of the International Joint Conference on Neural Networks, 2008

Ramp metering based on on-line ADHDP (lambda) controller.
Proceedings of the International Joint Conference on Neural Networks, 2008

Trajectory tracking control of omnidirecitonal wheeled mobile manipulators: Robust neural network based sliding mode approach.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Control of a class of under-actuated systems with saturation using hierarchical sliding mode.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

A Fuzzy Logic Controller with Adaptive Dynamic Programming Optimization for Traffic Signals.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

A Novel Type-Reduction Method for Interval Type-2 Fuzzy Logic Systems.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

A nonlinear rate control method for network congestion control.
Proceedings of the American Control Conference, 2008

Adaptive hybrid control for omnidirectional mobile manipulators using neural-network.
Proceedings of the American Control Conference, 2008

Heuristic Dynamic Programming strategy with eligibility traces.
Proceedings of the American Control Conference, 2008

Robust control using incremental sliding mode for underactuated systems with mismatched uncertainties.
Proceedings of the American Control Conference, 2008

2007
BP neural network prediction-based variable-period sampling approach for networked control systems.
Appl. Math. Comput., 2007

Improved mean shift segmentation approach for natural images.
Appl. Math. Comput., 2007

Multiple Approximate Dynamic Programming Controllers for Congestion Control.
Proceedings of the Advances in Neural Networks, 2007

Application of ADP to Intersection Signal Control.
Proceedings of the Advances in Neural Networks, 2007

A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease.
Proceedings of the Advances in Neural Networks, 2007

Approximate Dynamic Programming for Ship Course Control.
Proceedings of the Advances in Neural Networks, 2007

Motion regulation of redundantly actuated omni-directional Wheeled Mobile Robots with internal force control.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Robust adaptive tracking control of omnidirecitonal wheeled mobile manipulators.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Robust Control Using Sliding Mode for a Class of Under-Actuated Systems With Mismatched Uncertainties.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Decentralized Control with Optimal Control Allocation.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

Incremental Sliding Mode Controller for Large-Scale Underactuated Syetem.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

Hierarchical Sliding Mode Control to Swing up a Pendubot.
Proceedings of the American Control Conference, 2007

Stabilization of an Underactuated Surface Vessel via Discontinuous Control.
Proceedings of the American Control Conference, 2007

Unified Model and Robust Neural-Network Control of Omnidirectional Mobile Manipulators.
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007

2006
Analysis of Infectious Disease Data Based on Evolutionary Computation.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

A Particle Swarm Optimized Fuzzy Neural Network Control for Acrobot.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Robot Planning with Artificial Potential Field Guided Ant Colony Optimization Algorithm.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Autopilot Design Based on Fuzzy Logic and Genetic Algorithm.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

Proposal of Incremental Sliding Mode Control.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

Time Based Congestion Control (TBCC) for High Speed High Delay Networks.
Proceedings of the Intelligent Computing, 2006

Exponential Convergence Flow Control Model for Congestion Control.
Proceedings of the Intelligent Computing, 2006

A New Fuzzy Autopilot for Way-point Tracking Control of Ships.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Motion and squeeze force control for omnidirectional wheeled mobile robots.
Proceedings of the American Control Conference, 2006

2005
Effective pose estimation from point pairs.
Image Vis. Comput., 2005

A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach.
Fuzzy Sets Syst., 2005

Adaptive Inverse Control System Based on Least Squares Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Reinforcement Learning Based Radial-Bassis Function Network Control System.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Cascade sliding-mode controller for large-scale underactuated systems.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Double layer sliding mode control for second-order underactuated mechanical systems.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Tracking control of mobile manipulator with dynamical uncertainties.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Pose Estimation and Structure Recovery from Point Pairs.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Design of cascade fuzzy sliding-mode controller.
Proceedings of the American Control Conference, 2005

Robust motion control for nonholonomic constrained mechanical systems: sliding mode approach.
Proceedings of the American Control Conference, 2005

Adaptive inverse disturbance canceling control system based on least square support vector machines.
Proceedings of the American Control Conference, 2005

2004
Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Motion vision for mobile robot localization.
Proceedings of the 8th International Conference on Control, 2004

Smooth time-varying regulation of nonholonomic chained systems.
Proceedings of the 8th International Conference on Control, 2004

A robust doorplate recognition system.
Proceedings of the 8th International Conference on Control, 2004

Swing-free transporting of two-dimensional overhead crane using sliding mode fuzzy control.
Proceedings of the 2004 American Control Conference, 2004

2003
Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003


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