Uploaded January 2026 | Updated September 2026, 2 weeks ago
In this session replay, we explore the process of teaching an AI agent to drive a vehicle as fast as possible around a racetrack in a cutting-edge video game, using reinforcement learning techniques built on TensorFlow with NVIDIA GPU support. From exploring some early prototypes and experimenting with different features to integrating the system into a full production codebase and optimizing the training, we'll describe how we achieved our goal: an AI driver as fast as the best players.
In this session replay, we explore the process of teaching an AI agent to drive a vehicle as fast as possible around a racetrack in a cutting-edge video game, using reinforcement learning techniques built on TensorFlow with NVIDIA GPU support. From exploring some early prototypes and experimenting with different features to integrating the system into a full production codebase and optimizing the training, we'll describe how we achieved our goal: an AI driver as fast as the best players.










