Self-Driving Car

• Tech Stack: Python, Reinforcement learning, Proximal policy optimization algorithm

Developed a self-driving car model that was trained using the Proximal Policy Optimization (PPO) algorithm, a reinforcement learning technique. The car learned to navigate and make decisions autonomously by optimizing its driving policy through continuous interaction with the environment, gradually improving its performance in real-time simulations.