Learning to Tune Pure Pursuit in Autonomous Racing: Joint Lookahead and Steering-Gain Control with PPO

This research explores using Proximal Policy Optimization (PPO) to learn optimal tuning parameters for the Pure Pursuit algorithm in autonomous racing. By jointly controlling lookahead distance and steering gain, the system improves vehicle control and performance, demonstrating a practical application for autonomous vehicles in dynamic and high-speed environments.