WOGAN at the SBST 2022 CPS Tool Competition

Autor:	Peltomäki, Jarkko, Spencer, Frankie, Porres, Ivan
Rok vydání:	2022
Předmět:	Computer Science - Robotics Computer Science - Machine Learning Computer Science - Software Engineering
Druh dokumentu:	Working Paper
Popis:	WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car. Comment: 2 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.11064 Zobrazit plný text záznamu View this record from Arxiv