Qichao Zhang
Orcid: 0000-0001-9747-391X
According to our database1,
Qichao Zhang
authored at least 72 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks.
IEEE Trans. Cogn. Dev. Syst., October, 2024
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning.
IEEE Trans. Ind. Informatics, September, 2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model.
CoRR, 2024
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning.
CoRR, 2024
Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving.
CoRR, 2024
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Remote. Sens., November, 2023
Multi-task safe reinforcement learning for navigating intersections in dense traffic.
J. Frankl. Inst., November, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Cybern., 2022
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
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic.
CoRR, 2022
Artif. Intell. Rev., 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2021
Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021
Proceedings of the Cognitive Systems and Information Processing, 2021
2020
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment.
IEEE Trans. Neural Networks Learn. Syst., 2020
Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game.
Inf. Sci., 2020
Revocable ciphertext-policy attribute-based encryption in data outsourcing systems from lattices.
Int. J. Embed. Syst., 2020
Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks.
J. Grid Comput., 2020
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
IEEE Trans. Cybern., 2019
Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes].
IEEE Comput. Intell. Mag., 2019
Mixing Position Estimation of AIS Mixed Signal Based on Double-Sliding Window Method.
IEEE Access, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
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
Cluster Synchronization of Nonlinearly Coupled Directed Network via Pinning Control Strategy.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2018
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
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
Inf. Sci., 2018
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving.
CoRR, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
2017
Event-Triggered H<sub>∞</sub> Control for Continuous-Time Nonlinear System via Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs.
Neurocomputing, 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
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
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
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2016
Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation.
Neurocomputing, 2016
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
Proceedings of the Cognitive Systems and Signal Processing, 2016
2015
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015