Comments (5)
beyretb
commented on June 12, 2024
I need to adapt the ML-Agents curriculum to work with yaml configuration files, this won't work at the moment. Let me have a look and get back to you with an ETA for this.
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beyretb
commented on June 12, 2024
Could you describe what you were trying to use as a curriculum?
Did you want to be able to reset arenas with new configurations each time an agent reaches some threshold on a given metric?
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marlon360
commented on June 12, 2024
Yes exactly. The documentation says that this is easy to implement, but I just know the ML-Agents way.
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beyretb
commented on June 12, 2024
Some update for you: I've adapted the MetaCurriculum and Curriculum to work with the yaml configuration files, I'm running some tests and writing documentation. I plan on releasing this in v1.1 on Monday.
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beyretb
commented on June 12, 2024
This is now live, you can find the documentation here
I'll leave this topic open for a bit in case there are any questions.
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Related Issues (20)
- Website is down HOT 1
- what's the angle of view of the agent? HOT 2
- [beginner's question] how much computing resources are required to train a reasonable model? HOT 2
- Get agent x, y, z position during training HOT 1
- Question about example config files HOT 2
- Can i get the velocity of the agent? HOT 2
- Docker and AWS HOT 5
- Gym Wrapper multi-agent HOT 2
- overtrained? HOT 8
- Question about internal memory category HOT 1
- Instructions for final submissions HOT 2
- Env directory is ignored in .gitignore HOT 1
- Windows ENV cant donwload HOT 1
- Online-world suggestion HOT 1
- Google Colab Run error HOT 1
- Question about the way about curriculum HOT 2
- Windows environment download link HOT 1
- Modify environment assets / make new environment? HOT 1
- Tensorflow 2 compatability HOT 2
- CylinderTunnel and CylinderTunnelTransparent items not showing in the arena
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