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

Inaendelea Ilichapishwa Mwaka 1 uliopita Kulipwa wakati wa kujifungua
Inaendelea Kulipwa wakati wa kujifungua

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: [login to view URL]

Machine Learning (ML) Uprogramu C++ Python C Programming Algorithm

Kitambulisho cha Mradi: #35857954

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damilareisaac

Hi there! Given the information provided, it appears that you would need to use supervised learning to train a model to play the game. Supervised learning involves providing the model with labeled data Zaidi

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ayesha0124

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SaimaTheDev

Hii Yes, it is possible to train a language model on your own data. The process typically involves gathering a large dataset of text that is relevant to the task you want the model to perform, preprocessing the text to Zaidi

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amalsudharika1

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