Automatic Play based on LR and SVM Algorithms: -- Take Chrome Dion Game as an Example

Ziheng Chao

doi:10.54097/fcis.v4i1.9424

Authors

Ziheng Chao

DOI:

https://doi.org/10.54097/fcis.v4i1.9424

Keywords:

Machine Learning, Autoplay, Logistic Regression, Support Vector Machine, Gaming AI

Abstract

With the progress of society, people's quality of life significantly improved, this gives us more free time to do things we enjoy, so our life has become colorful, countless kinds of entertainment for people to choose, video games is one of the important, with the level of technology to improve the video game is also getting richer, when the video game into the artificial intelligence, but also to improve the fun of the game, the challenging. In this project, we will use logistic regression algorithm and support vector machine to automate the machine to play the dinosaur parkour game in Google Chrome, through the training of logistic regression and SVM, so that the machine can operate and control the dinosaur to jump and crouch to achieve high score.

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