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Learn Unity ML-Agents ??? Fundamentals of Unity Machine Learning

You're reading from   Learn Unity ML-Agents ??? Fundamentals of Unity Machine Learning Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789138139
Length 204 pages
Edition 1st Edition
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Author (1):
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Micheal Lanham Micheal Lanham
Author Profile Icon Micheal Lanham
Micheal Lanham
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ML-Agents external brains

Until now, all of our experiments have been with the heuristics brain using an internal RL algorithm called Q-learning. Now that we realize that C# scripts will only go so far, we can look at using ML-Agent external brains developed with Python. The preferred method for Unity is to run a Jupyter Python notebook externally to control the Unity training environment. This requires us to build a special Unity environment. Go through the following steps to learn how to configure the 3D ball environment for external training:

  1. Open the Unity editor and load the ML-Agents demo unityenvironment project. If you still have it open from the last chapter, then that will work as well.
  2. Open the 3DBall.scene in the ML-Agents/Examples/3DBall folder.
  3. Locate the Brain3DBrain object in the Hierarchy window and select it. In the Inspector window set the Brain Type to External...
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