Maximellerbach/RL-environnement-for-autonomous-car
In this repo, I used some math and image manipulation skills to create my own reinforcement learning environnement for autonomous car
This project helps you create and test simple autonomous car navigation systems using reinforcement learning. It simulates a car (red dot) on a racetrack with white borders, allowing you to train an AI to stay on track and complete laps. It's designed for researchers or hobbyists exploring basic autonomous driving algorithms in a controlled, virtual setting.
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Use this if you need a straightforward, customizable simulation environment to train and evaluate elementary autonomous car reinforcement learning agents.
Not ideal if you require high-fidelity graphics, complex real-world physics, or advanced sensor simulations for your autonomous vehicle research.
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Python
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Jun 24, 2019
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