Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles

Researchers proposed a self-adaptive anomaly detection system for connected vehicles that uses reinforcement learning and human feedback to adjust to system updates and changing workloads.

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