Safety-Guaranteed Learning for Autonomous Vehicles
Feb 1, 2025
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1 min read
Embedding safety guarantees into reinforcement-learning controllers for autonomous driving through control barrier functions and constraint-aware policy optimization. The framework maintains robust safety under stochastic disturbances while retaining the energy benefits of learning-based control.
Authors
Postdoctoral Fellow
Qun Wang is a Postdoctoral Fellow at the AIMS Lab, Hong Kong Polytechnic
University, working with Assistant Professor Hailong Huang. His research
focuses on energy-saving optimization and safety-guaranteed control of
autonomous electrified vehicles, with emphasis on reinforcement
learning for eco-driving, human driving behavior modeling, and
multi-agent car-following control. He has published over 10 papers in
leading journals including IEEE Transactions on ITS, TTE, TCST and Energy.