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Hands-On Deep Learning for Games
book

Hands-On Deep Learning for Games

by Micheal Lanham
March 2019
Beginner to intermediate
392 pages
8h 57m
English
Packt Publishing
Content preview from Hands-On Deep Learning for Games

Understanding Backplay

In late 2018, Cinjon Resnick released an innovative paper, titled Backplay: Man muss immer umkehren, (https://arxiv.org/abs/1807.06919) that introduced a refined form of Curriculum Learning called Backplay. The basic premise is that you start the agent more or less at the goal, and then progressively move the agent back during training. This method may not work for all situations, but we will use this method with Curriculum Training to see how we can improve the VisualHallway example in the following exercise:

  1. Open the VisualHallway scene from the Assets | ML-Agents | Examples | Hallway | Scenes folder.
  2. Make sure the scene is reset to the default starting point. If you need to, pull down the source from ML-Agents again. ...
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Publisher Resources

ISBN: 9781788994071