The Adaptive Stress Testing Formulation
Robotics
2020-04-10 v1 Machine Learning
Systems and Control
Systems and Control
Machine Learning
Abstract
Validation is a key challenge in the search for safe autonomy. Simulations are often either too simple to provide robust validation, or too complex to tractably compute. Therefore, approximate validation methods are needed to tractably find failures without unsafe simplifications. This paper presents the theory behind one such black-box approach: adaptive stress testing (AST). We also provide three examples of validation problems formulated to work with AST.
Cite
@article{arxiv.2004.04293,
title = {The Adaptive Stress Testing Formulation},
author = {Mark Koren and Anthony Corso and Mykel J. Kochenderfer},
journal= {arXiv preprint arXiv:2004.04293},
year = {2020}
}
Comments
Presented at the Workshop on Robust Autonomy at RSS 2019