https://github.com/andre-seiji/unity-drifting-ai

AI model trained for driving in Unity ml-agents
https://github.com/andre-seiji/unity-drifting-ai

drift ml-agents unity unity3d

Last synced: 5 months ago
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AI model trained for driving in Unity ml-agents

• Host: GitHub
• URL: https://github.com/andre-seiji/unity-drifting-ai
• Owner: Andre-Seiji
• License: mit
• Created: 2024-08-21T20:16:40.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-21T21:12:20.000Z (almost 2 years ago)
• Last Synced: 2025-02-13T20:34:03.419Z (over 1 year ago)
• Topics: drift, ml-agents, unity, unity3d
• Language: C#
• Homepage:
• Size: 7.94 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Unity-Drifting-AI

![Video9-ezgif com-video-to-gif-converter](https://github.com/user-attachments/assets/ed5a9bae-f750-4a73-800c-017bbdcad4c6)

This is an experiment on AI learning to drive using the Unity ML-Agents. 

Without giving any instructions, could the AI learn to complete a full lap in 30 seconds while managing a drift handling car? 

  

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Rules:

 

- A series of checkpoints (blue) were placed on the track and the agent gets rewarded everytime that goes through the correct checkpoint. 

- If the agent goes through the incorrect checkpoint or hit the walls or barriers, it gets punished.

- Each episode lasts 30 seconds.

  


![Video4-ezgif com-video-to-gif-converter](https://github.com/user-attachments/assets/10bf27f2-dffa-4d81-8e4d-18d5bb804a25)

The difficulty is avoiding the walls while not losing control of the car.

![Video1-ezgif com-video-to-gif-converter](https://github.com/user-attachments/assets/ce967bf4-5ba6-4c7c-a4d7-017517ba7a3a)

Finally, the AI is able to complete a full lap.



  

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Car model: https://sketchfab.com/3d-models/toyota-corolla-ae86-trueno-fe02fba6302e450ea8424591493341ea

Track link: https://assetstore.unity.com/packages/3d/environments/roadways/modular-lowpoly-track-roads-free-205188