In this recording of the live session, you'll learn how to create a machine learning experience that has a basic input (one or two dimensional vector observation), an obvious reward, and simple reset state. Throughout the session, learners will be able to: Define Machine Learning Discuss how ML differs from and works with Artificial Intelligence Identify observations for an ML agent to make in a given Scene Identify ways to reward the ML agent that will reinforce desired behavior Script the ML Agent to collect observations about conditions in the scene and calculate rewards accordingly Script the ML Agent to change behavior based on rewards received

Reinforcement Learning is one of the most exciting types of Artificial Intelligence and the Unity ML-Agents project is one of the easiest and most fun ways to get started. The instructor for the course is Adam Kelly, an experienced Unity developer who has been creating tutorials and courses on ML-Agents for Immersive Limit since the early beta days in 2018. In this course, you will learn how to create intelligent flying hummingbirds that can navigate to flowers, dip their beaks in, and drink nectar. These hummingbirds have six degrees of freedom, meaning they can fly and turn in any direction to find targets. They have more complicated controls and their flight paths cannot be solved with traditional navigation systems. You will learn how to craft a training environment and train neural networks to perform this challenging task, then compete against the birds yourself in a simple mini-game. There's no question that Reinforcement Learning is a complicated subject, but ML-Agents leaves the hard parts to the researchers so that you can focus on solving problems. By the end of the course, you'll have a good understanding of how you can create intelligent agents and integrate them with your own Unity games or simulation projects.

Each time you add a new Unity project to Unity Version Control from the Unity Editor, you’ll begin by setting up your workspace and repository. In this tutorial, you’ll learn the steps of that process, and make your first changesets. Important : Unity Version Control was previously called Plastic SCM. This learning content will be updated to fully reflect the name and user interface changes soon, but for now you will find references to the old name and user interface visuals. The instructions for working with Unity Version Control in this course remain accurate.

Who writes the stories? Who benefits from the stories? Who is missing from the stories? The world is a better place with a diverse range of creators, storytellers, interactive experience designers and programmers at the helm. When you bring real-time 3D development into your classroom, you have the opportunity to expand, develop and broaden the diversity of creators. This session focuses on strategies and resources to help you do that.

Hearing about DOTS hype? Wondering if it's for you? Be part of the Data-oriented design Bootcamp and find out. We know finding the time for professional development and keeping up with training is hard, but we’re going to challenge you to dedicate 4 hours over the course of the week alongside your fellow professional developers around the world. As a community, you’ll learn ways to improve your game’s performance, resulting in better framerates, more objects in the scene, and more performance benefits using DOTS. To enlist in the Data-oriented design Bootcamp, register here .