This guide will explain how to make your first ML Rocket League bot with RLGym-PPO, a nice and easy-to-use learning framework. I will both be explaining how to use the library, as well as how to make a bot in general.
If you notice a mistake in this guide, let me know!
If you want to learn how to train ML, bots, the only three requirements are:
- Knowing how to code (preferably in Python)
- Having a PC to train the bot on
- Not giving up easily
This guide assumes you have some basic Python experience. If you are coming from another language, that's fine too, but you might need to google some basic stuff and watch a few tutorials along the way.
I won't hand-hold basic Python tasks like adding an import or making a function, nor will I explain what an argument or constructor is. If you don't know, google it!
You don't need any prior experience in machine learning. Feel free to skip ahead if I cover something you already understand.
Start with reading the intro.
Introduction <- How to set up RLGym-PPO, and the basic concepts of training bots
Learner Settings <- What the various learner settings do
Rewards <- How rewards work, and how to write them
Visualizing Your Bot <- How to watch your bot play in a visualizer
Understanding The Graphs <- What the metric graphs mean
Making a Good Bot <- How to make a bot that is actually good
