Advanced games AI with genetic algorithms, neural networks & Q-learning in C# and Tensorflow for Unity
Instructed by Penny de Byl 12.5 hours on-demand video, 23 articles & 44 downloadable resources
What you’ll learn
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Build a genetic algorithm from scratch in C#.
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Build a neural network from scratch in C#.
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Setup and explore the Unity ML-Agents plugin.
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Setup and use Tensorflow to train game characters.
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Apply newfound knowledge of machine learning to integrate contemporary research ideas in the field into their own projects.
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Distill the mathematics and statistic behind machine learning to working program code.
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Use a Proximal Policy Optimisation to train a neural network.
Who this course is for:
- 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.
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