The Adaptive Stress Testing Formulation
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Apr 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2021Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithmcited by 7
- 2023Adaptive Failure Search Using Critical States from Domain Expertscited by 4
- 2024A novel framework for adaptive stress testing of autonomous vehicles in multi-lane roadscited by 1
- 2026Importance Sampling and PCA for Finding Failures in Commercial Autonomous Vehiclescited by 0
- 2026Importance Sampling and PCA for Finding Failures in Commercial Autonomous Vehicles20 Jul 2026
- 2024A novel framework for adaptive stress testing of autonomous vehicles in multi-lane roads19 Feb 2024
- 2023Adaptive Failure Search Using Critical States from Domain Experts1 Apr 2023
- 2021Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm27 Jul 2021