AI RESEARCH
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
arXiv CS.AI
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ArXi:2605.26577v1 Announce Type: cross Learning-based methods for synthesizing controllers have gained popularity due to their high expressiveness and strong empirical performance. However, in safety-critical scenarios such as autonomous driving, robotics, and power systems, empirical performance alone is insufficient, and formal verification of controller properties such as stability and safety is highly desirable.