Simple edit of a Machine learning code that learns to play a game by taking screenshots while you play

Supervised learning or reinforcement learning for an online game where you just move mouse and click sometimes when needed. You are flying in a rocket through a tube and you have to avoid obstacles and click sometimes to boost through a wood, object detection for every little obstacle I think would be too big of a process, don't know what kind of approach would I take other than machine learning.
Now I have a code that gets training data from a video while playing temple run and registering wasd keys, then other file that trains the model and then another file that plays the game, but I would need to reconfigure this for this other game that uses mouse click and mouse movement.

This is the game I want the model to learn to play: https://www.youtube.com/watch?v=Wlr242qEEUA