Increasing Machine Learning Agent's Complexity - Pellet Grabber MLAgents Unity Tutorial #2

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 walk through creating a more complex environment for our AI to learn in. Channels I recommend checking out for more MLAgents content:    / @theashbot4097      / @codemonkeyunity   Playlist:    • Pellet Grabber   0:00 - Intro 0:23 - Env Prefab 0:44 - Change Env 2:07 - OnEpisodeBegin 6:11 - Heuristic 6:39 - OnActionReceived 8:48 - Test 1 9:06 - Bug Fix 1 9:15 - Test 2 9:32 - Bug Fix 2 10:30 - Test 3 11:30 - Normalize 13:02 - Test 4 13:53 - Bug Fix 3 14:48 - Test 5 15:26 - Test Prep 20:57 - Big Fix 4 22:22 - Training 25:41 - Compare old brain to new brain 28:10 - Outro