Human-Like Autonomous Driving on Dense Traffic: Imitation Learning Model for Highway Driving

The author proposes an imitation learning model for autonomous driving on highways to mimic human drivers' behaviors, utilizing the HighD traffic dataset. The approach aims to reduce sample complexity compared to reinforcement learning and address limitations in predicting outlier driver profiles.