Tutorial: Learning Agents Introduction

The plugin is designed for training agents using reinforcement learning and imitation learning. You should be able to use it to train anything that is a character’s behavior in a game, e.g. driving should work pretty well.

Right now the algorithm we have supports primarily only continuous actions, i.e. throttle from 0.0-1.0, brake from 0.0-1.0, and not really discrete actions like “jump” or “open door”. You can sort of hackily make these work, but we’re working on supporting those action types better in a future iteration.