Safety-Guaranteed Learning for Autonomous Vehicles
Embedding safety guarantees into reinforcement-learning controllers for autonomous driving through control barrier functions and constraint-aware policy optimization. The framework …
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Embedding safety guarantees into reinforcement-learning controllers for autonomous driving through control barrier functions and constraint-aware policy optimization. The framework …
Cooperative control of connected electrified vehicle platoons using multi-agent reinforcement learning. Each agent learns a decentralized policy that jointly optimizes tracking, …
Developing RL-based control strategies that let connected and automated vehicles save energy while coexisting with heterogeneous human drivers. Our field-data-calibrated framework …
Calibrating the diverse preferences of human drivers from naturalistic driving datasets into a joint behavior distribution. The resulting driver models power robust evaluation and …