A developer spent a couple of days over his winter break training an artificial neural network to play the classic racing game Mario Kart 64 and documented his results to share what he learned in the process.
“It had been a few years since I’d done any serious machine learning, and I wanted to try out some of the new hotness (aka TensorFlow) I’d been hearing about,” said Kevin Hughes who works as a developer at Shopify.
Using a GeForce GTX 1060 GPU and the cuDNN-accelerated TensorFlow deep learning framework, Hughes trained his model on only four races on Luigi Raceway, two races on Kalimari Desert and two races on Mario Raceway. He mentioned that even with a small training set, the model was able to drive a new untrained section of the Royal Raceway (below).
Hughes’ adds that he plans on adding a reinforcement layer to the project so the AI can start to teach itself.
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Related resources
- GTC session: From Tortoise to Hare: How AI Can Turn Any Driver into a Race Car Driver (Spring 2023)
- GTC session: Introduction to Autonomous Vehicles (Spring 2023)
- GTC session: AI-Powered, Real-Time, Markerless: The New Era of Motion Capture (Spring 2023)
- Webinar: Isaac Developer Meetup #2 - Build AI-Powered Robots with NVIDIA Isaac Replicator and NVIDIA TAO
- Webinar: NVIDIA Inception: Maximize Your Benefits
- Webinar: The Next Frontier of Computer Vision: Simulation & Synthetic Data
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