Understanding Unity ML Agents part 1: Concepts

Опубликовано: 08 Февраль 2026
на канале: Clockworks Games
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This video begins explaining Unity ML-Agents by clarifying concepts from deep reinforcement learning. Subsequent videos will go over examples in detail and then will show experiments that try to use ML-Agents for humanoid NPCs.

Unity ML-Agents website: https://unity.com/products/machine-le...

Timestamps:
0:00 - Introduction
1:35 - Motivation - Why an introduction to ML-Agents?
4:54 - Artificial Neural Networks
7:20 - Deep Learning
8:55 - Types of Deep Learning
10:31 - Deep Reinforcement Learning
10:51 - Deep Reinforcement Learning Flowchart
11:51 - Closed-Loop Decision Diagram
14:17 - Deep Reinforcement Learning Problem Structure
15:37 - Deep Reinforcement Learning Sample Problem
17:53 - To Be Continued...

This book is referenced in the video:
Grokking Deep Reinforcement Learning
by Miguel Morales
Manning Publications
2020

Also check out introductory material from wikipedia:
https://en.wikipedia.org/wiki/Machine...
https://en.wikipedia.org/wiki/Deep_le...

This video is #10 in the series "Humanoid AI in Unity."
   • Humanoid AI in Unity  
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