Autonomous vehicles (AVs) require rigorous testing before deployment. Due to the complexity of these systems, formal verification may be impossible and real-world testing may be dangerous and expensive during development. This is where AST fits in. Anthony Corso presents his work on Adaptive Stress Testing (AST), a technique for automatically finding the most likely failures of an autonomous system in simulation. AST treats the AV as a black box and uses reinforcement learning to manipulate the driving en
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