Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles

We propose a new, hierarchical architecture for behavioral planning of vehicle models usable as realistic non-player vehicles in serious games related to traffic and driving. These agents, trained with deep reinforcement learning (DRL), decide their motion by taking high-level decisions, such as “k...

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Detalles Bibliográficos

Principais autores:	Luca Forneris, Alessandro Pighetti, Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Riccardo Berta
Formato:	Artigo
Idioma:	Inglês
Publicado:	Serious Games Society 2023-11-01
Series:	International Journal of Serious Games
Assuntos:	Reinforcement Learning Automotive Driving Serious Games Autonomous Agents Racing Games Driving Styles
Acceso en liña:	http://journal.seriousgamessociety.org/index.php/IJSG/article/view/638
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