davide-belli / torcs-track-classifiers

Implemented SVM and XGBoost classifiers as part of Computational Intelligence course project @ UvA

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TORCS-track-classifiers

Implemented many SVM and XGBoost classifier in order to discriminate between dirt and road tracks in TORCS simulator.

In the overall project, we realize at autonomous agent able to drive a car on a racing track, receiving as input signals from physics sensors in the emulator. This component enables the agent to understand if it is racing on a dirt or road track, adapting its behavior and driving techniques accordingly.

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Implemented SVM and XGBoost classifiers as part of Computational Intelligence course project @ UvA


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