Support for learning from demonstrations through two Imitation Learning algorithms (BC and GAIL). Quickly and easily add your own custom training algorithm and/or components.

The package allows you to convert any Unity scene into a learning environment and train character behaviors using a variety of machine-learning algorithms. Additionally, it allows you …

Sep 19, 2017 · This release is only the beginning, and we plan to iterate quickly and provide additional features for both those of you who are interested in Unity as a platform for Machine …

This guide walks through the end-to-end process of opening one of our example environments in Unity, training an Agent in it, and embedding the trained model into the Unity environment.

Sep 20, 2024 · In this guide, we’ll walk through how to dip your toes into machine learning in Unity, even if your background is more about creating characters than training neural networks.

In this Unit, we’ll learn to use ML-Agents, but don’t worry if you don’t know how to use the Unity Game Engine: you don’t need to use it to train your agents.

Tutorials: Step-by-step tutorials are provided to help developers understand the fundamentals of machine learning in Unity. These tutorials cover everything from basic agent setup to …

It is designed to enable a large variety of training modes and scenarios and comes packed with several features to enable researchers and developers to leverage (and enhance) machine …

Unity Machine Learning Agents (ML-Agents) is an open-source toolkit that enables developers to create environments where AI agents can learn complex behaviors through reinforcement …

We have a Unity Learn course, ML-Agents: Hummingbirds, that provides a gentle introduction to Unity and the ML-Agents Toolkit. We've also partnered with CodeMonkeyUnity to create a …