Qichao Zhang

发表

Comparison of methods to efficient graph SLAM under general optimization framework

Haoran Li, Qichao Zhang, Dongbin Zhao, 2017, 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC).

Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game

Qichao Zhang, Dongbin Zhao, Ke Wang, 2020, Inf. Sci..

Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics

Qichao Zhang, Dongbin Zhao, Dongbin Zhao, 2019, IEEE Transactions on Cybernetics.

An Efficient Network for Lane Segmentation

Haoran Li, Qichao Zhang, Dongbin Zhao, 2018, ICCSIP.

Graph Attention Memory for Visual Navigation pdf

Qichao Zhang, Dongbin Zhao, Dong Li, 2019, ArXiv.

DeepSign: Deep Learning based Traffic Sign Recognition

Qichao Zhang, Dongbin Zhao, Dong Li, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment

Qichao Zhang, Dongbin Zhao, Haoran Li, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Event-triggered hinfinity control for continuous-time nonlinear system

Qichao Zhang, Dongbin Zhao, Xiangjun Li, 2015 .

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

Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, 2017, Neurocomputing.

Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]

Qichao Zhang, Dongbin Zhao, Zhongpu Xia, 2017, IEEE Computational Intelligence Magazine.

Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics

Qichao Zhang, Dongbin Zhao, Ding Wang, 2016, IEEE Transactions on Cybernetics.

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]

Qichao Zhang, Dongbin Zhao, Dong Li, 2019, IEEE Comput. Intell. Mag..

Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems

Qichao Zhang, Dongbin Zhao, 2018, ICONIP.

Model-Free Reinforcement Learning based Lateral Control for Lane Keeping

Chaomin Luo, Qichao Zhang, Dongbin Zhao, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving pdf

Qichao Zhang, Dongbin Zhao, Dong Li, 2018, IEEE Comput. Intell. Mag..

Comparison of Control Methods Based on Imitation Learning for Autonomous Driving

Yu Wang, Qichao Zhang, Yuqi Liu, 2019, 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP).

Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics

Derong Liu, Qichao Zhang, Dongbin Zhao, 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks

Qichao Zhang, Kuai Xu, Jiyue Huang, 2020, Journal of Grid Computing.

Visual Navigation with Actor-Critic Deep Reinforcement Learning

Qichao Zhang, Dongbin Zhao, Kun Shao, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Policy Iteration for $H_\infty $ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming

Qichao Zhang, Dongbin Zhao, Xiong Yang, 2018, IEEE Transactions on Cybernetics.

A Blockchain-based key Management Scheme for Named Data Networking

Qichao Zhang, Kai Lei, Zhuyun Qi, 2018, 2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN).

Policy gradient methods with Gaussian process modelling acceleration

Chaomin Luo, Qichao Zhang, Dongbin Zhao, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Research and Application of BFT Algorithms Based on the Hybrid Fault Model

Qichao Zhang, Tao Sun, Kai Lei, 2018, 2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN).

Securing ICN-Based UAV Ad Hoc Networks with Blockchain

Qichao Zhang, Kuai Xu, Bo Bai, 2019, IEEE Communications Magazine.

Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming

Qichao Zhang, Dongbin Zhao, Ding Wang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations

Xi Chen, Qichao Zhang, Dongbin Zhao, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation

Derong Liu, Qichao Zhang, Chaoxu Mu, 2016, Neurocomputing.

Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games

Qichao Zhang, Dongbin Zhao, Sibo Zhang, 2017, ICONIP.

Event-Triggered H ∞ Control for Continuous-Time Nonlinear System

Qichao Zhang, Dongbin Zhao, Xiangjun Li, 2015, ISNN.

Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems

Qichao Zhang, Dongbin Zhao, Ding Wang, 2016, ICCSIP.

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints

Junjie Wang, Qichao Zhang, Dongbin Zhao, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Comparison of 3D Object Detection Based on LiDAR Point Cloud

Qichao Zhang, Dongbin Zhao, Xiaolei Zhou, 2019, 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).

Data-driven adaptive dynamic programming for two-player nonzero-sum game

Qichao Zhang, Dongbin Zhao, Yafei Zhou, 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain

Qichao Zhang, Kai Lei, Limei Xu, 2018, 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS).

Event-triggered integral reinforcement learning for nonlinear continuous-time systems

Qichao Zhang, Dongbin Zhao, Dongbin Zhao, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Convolutional fitted Q iteration for vision-based control problems

Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling

Qichao Zhang, Dongbin Zhao, Dong Li, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Event-Triggered $H_\infty $ Control for Continuous-Time Nonlinear System via Concurrent Learning

Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games

Frank L. Lewis, Qichao Zhang, Dongbin Zhao, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Multi-task learning for dangerous object detection in autonomous driving

Qichao Zhang, Dongbin Zhao, Yaran Chen, 2017, Inf. Sci..

An Autonomous Driving Experience Platform with Learning-Based Functions

Qichao Zhang, Dongbin Zhao, Dong Li, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Overview of Image Segmentation and Its Application on Free Space Detection

Qichao Zhang, Dongbin Zhao, Zhonghua Pang, 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism

Qichao Zhang, Yaran Chen, Zhisong Zhang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios

Qichao Zhang, Dongbin Zhao, Yuqi Liu, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving

Qichao Zhang, Shasha Liu, Youtian Guo, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning

Qichao Zhang, Dongbin Zhao, Junjie Wang, 2022, IEEE CAA J. Autom. Sinica.

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space

Bo Zhao, Qichao Zhang, Hufei Zhu, 2021, Artificial Intelligence Review.

Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning pdf

Qichao Zhang, Dongbin Zhao, Junjie Wang, 2021, ICRAI.