GenRL at the SBST 2022 Tool Competition

Autor: Luigi Libero Lucio Starace, Andrea Romdhana, Sergio Di Martino
Přispěvatelé: Starace, LUIGI LIBERO LUCIO, Romdhana, Andrea, DI MARTINO, Sergio
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: 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.
Databáze: OpenAIRE