Deep Reinforcement Learning in Unity: With Unity ML Toolkit 1st Edition Abhilash Majumder 1484265033 9781484265031

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Product details:

• ISBN 10: 1484265033
• ISBN 13: 9781484265031
• Author: Abhilash Majumder

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity. This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshes in Unity, setting up the ML Agents Toolkit (including how to install and set up ML agents from the GitHub repository), and installing fundamental machine learning libraries and frameworks (such as Tensorflow).

Table of contents:

1. Introduction to Reinforcement Learning

2. Pathfinding and Navigation

3. Setting Up ML Agents Toolkit

4. Understanding brain agents and academy

5. Deep Reinforcement Learning

6. Competitive Networks for AI Agents

7. Case Studies in ML Agents

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