Get Started with ML-Agents in Unity - Part 6: Inference & Training Stats

In the final part of the series, we load our trained Turtle Agent into Unity, visualize training stats with TensorBoard, and set up a custom config file to improve training performance.

📀 Get the completed Unity Project from here: https://www.patreon.com/posts/project-source-6-127045834
📜 'Turtle.yaml' config file: https://github.com/LudicWorlds/ml-agents-course-assets/blob/main/Turtle.yaml
📜 To run a training session, use these commands: https://github.com/LudicWorlds/ml-agents-course-assets/blob/main/turtle-training-commands.md

← Previous Video • Get Started with ML-Agents in Unity - Part 5: Parallel Training & Feedback: https://youtu.be/3n95aVv3nSE

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▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

0:00 - Intro
0:47 - Terminal Read-out
2:37 - Import ONNX File
3:43 - Set 'Inference Only' Behavior
4:33 - Test Trained Model
4:58 - TensorBoard
6:16 - Config YAML File
8:02 - Set 'Default' Behavior
8:48 - Final Training Run
10:45 - Outro
▬ Useful Links ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

► ML-Agents GitHub: https://github.com/Unity-Technologies/ml-agents
► ML-Agents Overview: https://unity-technologies.github.io/ml-agents/ML-Agents-Overview/
► ML-Agents Docs - Training Configuration File: https://unity-technologies.github.io/ml-agents/Training-Configuration-File/
▬ Credits ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

► Music by - CO.AG Music: https://www.youtube.com/@co.agmusic

#unity #ai #mlagents #reinforcementlearning

Видео Get Started with ML-Agents in Unity - Part 6: Inference & Training Stats канала Ludic Worlds