FahzainAhmad / agent-hill-climb-supervisedView external linksLinks
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.
☆73Nov 9, 2025Updated 3 months ago
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