Hunter v. Prey Machine Learning - Pellet Grabber MLAgents Unity Tutorial #7

Hi all! In this series we will be exploring the Unity MLAgents library. We are using reinforcement learning to develop a neural network for our AI to use to solve problem environments that we create for it. In this video we learn how create a competing Agent in Unity MLAgents. This competing agent will be trying to catch our Pellet Agent before it can get all the pellets. Playlist: https://www.youtube.com/playlist?list=PLhOLzjLZmaVdpnux85hqEGEBeqzcQsYNt Helpful Links for this video: https://unity-technologies.github.io/ml-agents/Training-Configuration-File #ppo-specific-configurations https://github.com/Unity-Technologies/ml-agents/tree/develop/config/ppo 0:00 - Intro 0:17 - Create Hunter Object 1:41 - RayCast Changes 3:23 - Recreate Hunter Object 5:59 - Hunter Script 14:08 - Agent Script 15:55 - Unity Variable Changes 17:45 - Hunter Script Changes 19:11 - Create Config File 21:35 - RayCast Tags 26:13 - Training 27:13 - Agent Speed Change (Training) 28:18 - Agent Speed Change Again (Training) 28:45 - Load Brains 30:00 - End Result