Car Reinforcement Learning Training

This project leverages Stable-Baselines3 to implement reinforcement learning algorithms such as PPO, SAC, and A2C. Combined with the PyBullet simulation environment, the aim is to train a virtual car to autonomously navigate and reach the designated R2D2 target location.