• Corpus ID: 53223106

Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning

@article{Lee2018AdaptiveST,
  title={Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning},
  author={Ritchie Lee and Ole Jakob Mengshoel and Anshu Saksena and Ryan Gardner and Daniel Genin and Joshua Silbermann and Michael P. Owen and Mykel J. Kochenderfer},
  journal={ArXiv},
  year={2018},
  volume={abs/1811.02188}
}
Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collision avoidance systems and autonomous cars. In many applications such as autonomous driving, failures cannot be completely eliminated due to the complex stochastic environment in which the system operates. As a result, safety validation is not only concerned about whether a failure can occur, but also discovering which… 
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