Comments (2)
does it mean that in the first category there can be also red balls?
Correct
Also the example has 1 green ball, but is this representative of the real distribution in the test?
The examples are not meant to be representative of all tests in a category (just of the kinds of objects involved and the kind of concept). They are just suggestions to get started and to show the syntax of the configuration files. I'll clarify this in the eval post as the information for this has become spread out over multiple sources.
Category N2 says "Allowed objects: All except zones" does it mean that barriers can be present?
Walls can be present, but not in a way such that information (e.g. goals) is supposed to be concealed behind them. This is mentioned elsewhere, but, again, I'll bring everything together to add some clarity now that the documentation surrounding this has become too spread out. C3 is the first time that rewards begin behind (from the perspective of the agent) any of the immovable objects.
Are there more precisely defined docs?
As mentioned above, I will collate all the publicly available test information so that it is all in one place. Hopefully this will improve clarity.
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We've released more information and collated some of the older info.
See https://www.mdcrosby.com/blog/animalaiprizes1.html
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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
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- 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
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