Qi Liu
Orcid: 0000-0001-5172-0989Affiliations:
- Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
According to our database1,
Qi Liu
authored at least 21 papers
between 2020 and 2024.
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Bibliography
2024
Ethical Alignment Decision Making for Connected Autonomous Vehicle in Traffic Dilemmas via Reinforcement Learning From Human Feedback.
IEEE Internet Things J., December, 2024
Learning-Based Hierarchical Decision-Making Framework for Automatic Driving in Incompletely Connected Traffic Scenarios.
Sensors, April, 2024
Rate GQN: A Deviations-Reduced Decision-Making Strategy for Connected and Automated Vehicles in Mixed Autonomy.
IEEE Trans. Intell. Transp. Syst., January, 2024
AF-DQN: A Large-Scale Decision-Making Method at Unsignalized Intersections with Safe Action Filter and Efficient Exploratory Training Strategy.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends.
Sensors, October, 2023
Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control.
IEEE Trans. Intell. Transp. Syst., August, 2023
Filling Action Selection Reinforcement Learning Algorithm for Safer Autonomous Driving in Multi-Traffic Scenes.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving.
Sensors, 2022
Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning.
Sensors, 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges.
CoRR, 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.
CoRR, 2022
Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review.
IEEE Access, 2022
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Decision-Making Technology for Autonomous Vehicles: Learning-Based Methods, Applications and Future Outlook.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020