Unity ML-Agents: Using the Ray Perception Sensor
In this tutorial, I show you how to add a 'Ray Perception Sensor 3D' to your ML-Agents project in Unity. Building on the 'Turtle Agent' project from my "Get Started with ML-Agents" series, we replace the goal position observations with a Ray Perception Sensor, configure its settings, and run a new training session.
📀 Get the completed Unity Project from here: / project-source-155239695
📜 To run a training session, use these commands: https://github.com/LudicWorlds/ml-age...
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🎓 Get Started with ML-Agents in Unity: • Get Started with ML-Agents in Unity
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▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
0:00 - Intro
1:14 - Adding the Ray Perception Sensor
2:14 - What is a Ray Perception Sensor?
2:57 - Why use a child GameObject?
4:16 - Configuring Detectable Tags
4:45 - How ray observations work
6:24 - Updating the TurtleAgent script
7:15 - Updating Behavior Parameters
8:20 - Sensor settings
11:45 - Training the agent
12:55 - Importing the trained model
13:30 - Testing in inference mode
14:30 - Comparing training results
15:47 - Outro
▬ Useful Links ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► ML-Agents GitHub Repo: https://github.com/unity-technologies...
► ML-Agents documention: https://docs.unity3d.com/Packages/com...
► ML-Agents docs - RayPerceptionSensor: https://docs.unity3d.com/Packages/com...
▬ Credits ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Music by - CO.AG Music: / @co.agmusic
#unity #ai #mlagents #reinforcementlearning
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