Review
Open access
Sep 2025
A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator
A comprehensive review of approximately 100 peer-reviewed studies that apply RL in the CARLA simulator shows that model-free RL overwhelmingly dominates the field, accounting for more than 80% of existing studies, with DQN, PPO, and SAC being the most frequently adopted algorithms.
Elahe Delavari, Feeza Khan Khanzada, Jaerock Kwon
· IEEE Access · 12 citations