Siwei Ju

Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning

In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of imitating and outperforming professional race car drivers based on demonstrations collected on a high-fidelity Driver-in-the-Loop (DiL) hardware simulator. We formulate a contextual r