A Beginner’s Guide To Machine Learning with Unity

Advanced games AI with genetic algorithms, neural networks & Q-learning in C# and Tensorflow for Unity

Created by: Penny de Byl
International Award Winning Professor & Best Selling Author

Created by: Penny Holistic3D
Academic, Author & Game Development Enthusiast

What Will I Learn?

• Build a genetic algorithm from scratch in C#.
• Build a neural network from scratch in C#.
• Setup and explore the Unity ML-Agents plugin.
• Setup and use Tensorflow to train game characters.
• Apply newfound knowledge of machine learning to integrate contemporary research ideas in the field into their own projects.
• Distill the mathematics and statistic behind machine learning to working program code.
• Use a Proximal Policy Optimisation to train a neural network.

Requirements

• You should be familiar with the Unity Game Engine.
• You should have a working knowledge of C#.
• You should have a healthy appreciation for mathematics and statistics.

Target audience

• Anyone wanting to learn about the potential of machine learning in games.
• Anyone wanting a deeper understanding of the algorithms and theories underlying Unity's ML-Agents.
• Anyone wanting to know how to setup and work with ML-Agents.