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Hands-On Reinforcement Learning for Games
book

Hands-On Reinforcement Learning for Games

by Micheal Lanham
January 2020
Intermediate to advanced
432 pages
10h 18m
English
Packt Publishing
Content preview from Hands-On Reinforcement Learning for Games

Coding an agent/environment

Unity provides an excellent interface for prototyping and building commercial games. You can actually get quite far with very little coding. Unfortunately, that is currently not the case when building new ML-Agents environments.

As such, we will explore the important coding parts in the next exercise:

  1. Next, locate and open the Scripts folder under Assets/ML-Agents/Examples/Basic and inside that double-click to open BasicAgent.cs. This is a C# (CSharp) file and it will open in the default editor.
  2. At the top of the file, you will note that this BasicAgent class is extended from Agent and not MonoBehaviour, which is the Unity default. Agent is a special class in Unity, which as you likely guessed, defines an agent ...
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Publisher Resources

ISBN: 9781839214936