IEEE

Exploring Learner Achievement Analysis using K-Means, SVM, and EM Clustering in a Unity-Based Virtual Reality Learning Environment

Abstract: This research article aims to analyze learner performance data from virtual reality environments developed with Unity using machine learning algorithms such as K-Means, Support Vector ...
GitHub

Unity ML-Agents Toolkit

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...
IEEE

Navigating the Unity Ml-Agents Ecosystem: A Comprehensive Review and Best-Practice Guide

Abstract: The training of intelligent agents in high-fidelity simulations has become a cornerstone of modern Artificial Intelligence research. The Unity Machine Learning Agents (ML-Agents) Toolkit has ...