Commit 732c3ded authored by Benjamin's avatar Benjamin
Browse files

reorganize readme

parent 0e7f700b
......@@ -32,26 +32,6 @@ Just want to get started? Then:
- In the `examples` folder, start `jupyter notebook` and go through the [environment](examples/environment_tutorial.ipynb)
and the [training](examples/training_tutorial.ipynb) notebooks!
## Development Blog
You can read the launch posts - with information about prizes and the categories in the competition here:
[Animal-AI: AWS Prizes and Evaluation: Aug 12th](https://www.mdcrosby.com/blog/animalaiprizes1.html) - with updated submission and test information.
[Animal-AI Evaluation: July 8th](https://mdcrosby.com/blog/animalaieval.html) - with collated information about the evaluation.
[Animal-AI Launch: July 1st](https://mdcrosby.com/blog/animalailaunch.html) - with information about the prizes and introduction to all 10 categories.
You can read the development blog [here](https://mdcrosby.com/blog). It covers further details about the competition as
well as part of the development process.
1. [Why Animal-AI?](https://mdcrosby.com/blog/animalai1.html)
2. [The Syllabus (Part 1)](https://mdcrosby.com/blog/animalai2.html)
3. [The Syllabus (Part 2): Lights Out](https://mdcrosby.com/blog/animalai3.html)
## Requirements
First **download the environment** for your system:
......@@ -115,6 +95,25 @@ Beyret, B., Hernández-Orallo, J., Cheke, L., Halina, M., Shanahan, M., Crosby,
Paper with all the details of the test battery will be released after the competition has finished.
## Development Blog
You can read the launch posts - with information about prizes and the categories in the competition here:
[Animal-AI: AWS Prizes and Evaluation: Aug 12th](https://www.mdcrosby.com/blog/animalaiprizes1.html) - with updated submission and test information.
[Animal-AI Evaluation: July 8th](https://mdcrosby.com/blog/animalaieval.html) - with collated information about the evaluation.
[Animal-AI Launch: July 1st](https://mdcrosby.com/blog/animalailaunch.html) - with information about the prizes and introduction to all 10 categories.
You can read the development blog [here](https://mdcrosby.com/blog). It covers further details about the competition as
well as part of the development process.
1. [Why Animal-AI?](https://mdcrosby.com/blog/animalai1.html)
2. [The Syllabus (Part 1)](https://mdcrosby.com/blog/animalai2.html)
3. [The Syllabus (Part 2): Lights Out](https://mdcrosby.com/blog/animalai3.html)
## Unity ML-Agents
The Animal-AI Olympics was built using [Unity's ML-Agents Toolkit.](https://github.com/Unity-Technologies/ml-agents)
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