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

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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Bibliographic Details
Main Authors: Luca Forneris, Alessandro Pighetti, Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Riccardo Berta
Format: Article
Language:English
Published: Serious Games Society 2023-11-01
Series:International Journal of Serious Games
Subjects:
Reinforcement Learning
Automotive Driving
Serious Games
Autonomous Agents
Racing Games
Driving Styles
Online Access:http://journal.seriousgamessociety.org/index.php/IJSG/article/view/638

Internet

http://journal.seriousgamessociety.org/index.php/IJSG/article/view/638

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