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agent-hill-climb-supervised

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This project implements a supervised deep learning system that learns to autonomously control a vehicle in the Countryside level of Hill Climb Racing. Using computer vision and a convolutional neural network (CNN), the model observes raw gameplay frames and predicts the correct driving action in real time — mimicking human input.

Creat2025-11-06T19:06:51
Update2025-11-14T00:48:47
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