Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications

Óscar Pérez-Gill, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa, Carlos Gómez Huélamo, Rodrigo Gutiérrez, Alejandro Díaz. Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications. In IEEE Intelligent Vehicles Symposium, IV 2021, Nagoya, Japan, July 11-17, 2021. pages 1268-1273, IEEE, 2021. [doi]

Abstract

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