GenRL at the SBST 2022 Tool Competition

L. L. L. Starace, Andrea Romdhana, S. Martino
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引用次数: 3

Abstract

GenRL is a Deep Reinforcement Learning-based tool designed to generate test cases for Lane-Keeping Assist Systems. In this paper, we briefly presents GenRL, and summarize the results of its participation in the Cyber-Physical Systems (CPS) tool competition at SBST 2022.
GenRL在SBST 2022工具竞赛中
GenRL是一种基于深度强化学习的工具,旨在为车道保持辅助系统生成测试用例。在本文中,我们简要介绍了GenRL,并总结了其参与SBST 2022网络物理系统(CPS)工具竞赛的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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