ML Agents Test

NOTE BEFORE DOWNLOADING THE PROJECT!!!

YOU CAN CLOSE THE PROJECT USING ALT + F4.

Here is an example of an implementation of ML-Agents in Unity.

How it works:

ML-Agents use Machine Learning to make the Agents become a god at a specific task.

The Agent in this project uses a Raycast (a lazer beam) to detect how close the object coming towards him is and determines when he has to jump. Through Machine Learning the Agent becomes better and better at this task and eventually after some time of learning it can basically do his task without failures forever.

Windows can give a warning when you try to run the .exe file. This is because the file isn't downloaded very often. You can still run the program by clicking 'more info' and click run anyway.

Bug Fixes:

• Score - The score text now automatically scales with the screen size.