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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

Curriculum learning

Curriculum learning allows you to train an agent by increasing the complexity of the task as the agent learns. This is fairly intuitive and likely very similar to the way we learn various tasks from math to programming.

Follow the exercise to quickly see how you can set up for curriculum learning:

  1. Open the WallJump scene located in the Assets/ML-Agents/Examples/WallJump/Scenes folder.
  1. Select the Academy in the scene and review the settings of the Wall Jump Academy component in the Inspector window and as shown in the screenshot:
Inspecting the WallJump Academy
  1. Inside the academy is an expanded section called Reset ...
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Publisher Resources

ISBN: 9781839214936