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 at the SBST 2022 Tool Competition / Starace, LUIGI LIBERO LUCIO; Romdhana, Andrea; DI MARTINO, Sergio. - (2022). ( International Workshop on Search-Based Software Testing (SBST) Pittsburgh, PA, USA 09/05/2022).
GenRL at the SBST 2022 Tool Competition
Luigi Libero Lucio Starace
Primo
;Sergio Di MartinoUltimo
2022
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.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
GenRL_at_the_SBST_2022_Tool_Competition.pdf
solo utenti autorizzati
Tipologia:
Versione Editoriale (PDF)
Licenza:
Accesso privato/ristretto
Dimensione
132.37 kB
Formato
Adobe PDF
|
132.37 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


