GenRL at the SBST 2022 Tool Competition
Autor: | Luigi Libero Lucio Starace, Andrea Romdhana, Sergio Di Martino |
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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 |
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