Understanding Unity ML Agents part 1: Concepts

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-learning-agents 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_learning https://en.wikipedia.org/wiki/Deep_learning This video is #10 in the series "Humanoid AI in Unity." https://www.youtube.com/playlist?list=PLK4JsfnQ3C4PC5pu6_DOM0zbEFEMoRLEU Please subscribe! See the Clockworks Games website at http://clockworks-games.com/ Subscribe to the Clockworks Games Facebook group: https://www.facebook.com/GamesFromTheClockworks #unityai #unitynpcs #mlagents