Building an Autonomous Racing Agent in TORCS

This project aims to create an autonomous AI racer using TORCS, a racing simulator. After receiving an invitation to the IBM Global AI Racing Competition, the author is now working on developing an AI agent to navigate the Corkscrew track without crashing. The ultimate goal is not just to complete laps autonomously but to optimize the agent for competitive speeds, showcasing the potential of AI in racing simulations. This initiative highlights the intersection of machine learning and gaming, offering insights into how AI can be applied in real-world racing scenarios.