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Reinforcement Learning: AI Flight with Unity ML-Agents

Learners: 965

Instructor: Adam Kelly Immersive Limit

Duration:

This course is perfect for anyone interested in the intersection of video games and artificial intelligence. With Unity ML-Agents, you can watch your neural network learn in a real-time 3d environment based on rewards for good behavior. Learn how to use and train the example content, create custom assets with Blender, and build a full game with menus for level and difficulty selection. No prior knowledge of deep learning or reinforcement learning is required. By the end of the course, you'll have a complete game that you can share, add to your portfolio, or sell.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2023-01-03

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
By taking this course, you will acquire the skills and knowledge necessary to create a complete game with challenging AI opponents using Unity ML-Agents. You will learn how to use and train the example content, create custom assets with Blender, create a full environment for the airplane agents, and train them to fly through checkpoints without crashing into obstacles. Additionally, you will learn how to build a full game around the trained agents, including menus for level and difficulty selection. Finally, you will gain an understanding of how to customize the game and make it your own.
Professional Growth:
This course provides an opportunity for professional growth by teaching how to use and train Unity ML-Agents to create a complete game with challenging AI opponents. It covers the basics of ML-Agents, how to use and train the example content, how to create a full environment for the airplane agents, and how to build a full game around them. By the end of the course, participants will have a complete game that they can share, add to their portfolio, or sell on a game marketplace. This course is a great way to gain experience in the intersection of video games and artificial intelligence.
Further Education:
This course is suitable for preparing further education in the field of reinforcement learning and artificial intelligence. It provides an introduction to ML-Agents and how to use and train the example content. It also covers how to create a full environment for the airplane agents and train them to fly through checkpoints without crashing into obstacles. Additionally, it provides an opportunity to customize the course and make it one's own, as well as the ability to share the completed game with friends, add it to a portfolio, or sell it on a game marketplace.