[Research] • r/MachineLearning

I'm a High School student with a reasonably basic research project where I am to implement an AI Agent to learn and master games and graph a linear regression of its time to mastery versus the task complexity. My partner and I have decided task complexity is to be based on the number of state spaces (or different inputs) the AI can use. We would like to find a good primary AI and have been using public OpenAi templates. Do any of you guys have suggestions on an efficient and effective way to make a "cookie cutter" algorithm? We'd like for it to be as easy to understand as possible.