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: Imitation Learning Techniques Using NVIDIA Isaac Lab and Apple Vision Pro
- GTC session: An Introduction to NVIDIA Cosmos World Foundation Models
- GTC session: Using Astris AI Factory to Build Scalable AI for Control Systems (Presented by Astris AI)
- NGC Containers: rag-playground
- NGC Containers: rag-application-multiturn-chatbot
- SDK: Isaac Lab
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