Deep reinforcement learning based control for Autonomous Vehicles in CARLA

• Published in: Multimedia tools and applications Vol. 81; no. 3; pp. 3553 - 3576
• Main Authors: Pérez-Gil, Óscar, Barea, Rafael, López-Guillén, Elena, Bergasa, Luis M., Gómez-Huélamo, Carlos, Gutiérrez, Rodrigo, Díaz-Díaz, Alejandro
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2022; Springer Nature B.V
• Subjects: 1188: Artificial Intelligence for Physical Agents; Agents (artificial intelligence); Algorithms; Artificial intelligence; Autonomous vehicles; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Machine learning; Multimedia Information Systems; Reagents; Route selection; Special Purpose and Application-Based Systems; Trajectories; DQN; DDPG; Deep Reinforcement Learning; Autonomous Vehicles; CARLA Simulator

Nowadays, Artificial Intelligence (AI) is growing by leaps and bounds in almost all fields of technology, and Autonomous Vehicles (AV) research is one more of them. This paper proposes the using of algorithms based on Deep Learning (DL) in the control layer of an autonomous vehicle. More specificall...