Machine Learning/Deep Learning For Gaming Autonomously

Use Python to build AI models to play Dirt 5. You’ll need to train a model which can play autonomously!

Machine Learning should be used to play the game “Dirt 5.” There should be 10 – 15 mins of continuous input where the car will try to stay on the tracks and go around the tracks. The goal is not to win the game but to simulate someone playing the game. If the car hits a barrier or another car or gets off track of the course, it correct itself and get back on track. OpenCV, TensorFlow and Keras should be used. No other deep learning languages.

The requirements listed are all of the requirements. Other than that I am open. I believe the game is free for PC on steam. You can look at how the game is played on YouTube for more details: https://youtu.be/CD6nhiUJOig
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Example: https://morioh.com/p/3441c642326e. Here is an example video of another game being trained to play autonomously