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Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
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Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package

by Dylan Engelbrecht
January 2023
Intermediate to advanced
213 pages
3h 35m
English
Apress
Content preview from Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
D. EngelbrechtIntroduction to Unity ML-Agentshttps://doi.org/10.1007/978-1-4842-8998-3_4

4. Dopamine for Machines

Dylan Engelbrecht1  
(1)
-, Cape Town, South Africa
 

In this chapter, we’ll be discussing the reward system used in reinforcement learning agents and how the reinforcement learning system took inspiration from the biological reward system that drives humanity and many other organisms found on earth.

We’ll talk about how these reward systems work in biological organisms and then look at how engineers have taken inspiration from the reward system and implemented it into reinforcement learning agents for incredible results.

Then you’ll learn how and when ...

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Publisher Resources

ISBN: 9781484289983Purchase LinkPublisher Website