[D] How to mine a proper dataset for Toribash AI bot?

An example video with the game interface: https://www.youtube.com/watch?v=EPq7xIib_Cg Toribash is a simulator of 3D fighting, freely available in Steam. The game has an API in lua. You may perform any user input through it, as well as obtaining game environment configuration, and getting info about your tori location. Even more, it has a built-in metrics that shows a damage equivalence of your performance. But I don't understand how to prepare a dataset for a neural net learning. Also, what kind of model to choose? Evidently it wants some form of reinforcement learning. Where to start from? submitted by /u/Mee5aeree4 [link] [comments]