Zhuoren Li
Orcid: 0000-0001-6246-3404
According to our database1,
Zhuoren Li authored at least 22 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Seamless Overtaking Maneuvers for Automated Driving: Integrated Motion Planning Based on Hybrid Model Predictive Control.
IEEE Trans. Ind. Electron., July, 2026
Safety-Enhanced Deep Reinforcement Learning for Autonomous Driving: Dare to Make Mistakes to Learn Better and Faster.
IEEE Trans. Intell. Transp. Syst., May, 2026
FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving.
CoRR, April, 2026
Expert Knowledge-driven Reinforcement Learning for Autonomous Racing via Trajectory Guidance and Dynamics Constraints.
CoRR, March, 2026
2025
Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving.
IEEE Robotics Autom. Lett., December, 2025
Convergent Harmonious Reinforcement Learning - Lane Changing in a More Traffic Friendly Way.
IEEE Trans. Intell. Transp. Syst., November, 2025
Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving.
CoRR, June, 2025
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving.
CoRR, May, 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective.
CoRR, March, 2025
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection.
CoRR, March, 2025
Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving.
CoRR, January, 2025
Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving.
Dataset, January, 2025
HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
An Integrated of Decision Making and Motion Planning Framework for Enhanced Oscillation-Free Capability.
IEEE Trans. Intell. Transp. Syst., June, 2024
Stability Enhanced Hierarchical Reinforcement Learning for Autonomous Driving with Parameterized Trajectory Action.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
2023
A Seamless Motion Planning Integrating Maneuver Decision Based on Hybrid Model Predictive Control.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Safe Reinforcement Learning of Lane Change Decision Making with Risk-Fused Constraint.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
A Unified Trajectory Planning and Tracking Control Framework for Autonomous Overtaking Based on Hierarchical MPC.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2020
A Priority Data Association Policy for Multitarget Tracking on Intelligent Vehicle Risk Assessment.
Remote. Sens., 2020