Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm
Mark Koren,Ahmed Nassar,Mykel J. Kochenderfer,Mark Koren,Ahmed Nassar,Mykel J. Kochenderfer
Validating the safety of autonomous systems generally requires the use of high-fidelity simulators that adequately capture the variability of real-world scenarios. However, it is generally not feasible to exhaustively search the space of simulation scenarios for failures. Adaptive stress testing (AST) is a method that uses reinforcement learning to find the most likely failure of a system. AST wit...
