aigs
To get up and running:
- Install
uvso you can get our environment up and running (https://docs.astral.sh/uv/) - Clone this repo
git clone https://github.com/syrkis/aigs.git
Open the repo in your IDE. You can run the code with our dependencies using uv run python
labs
- MCTS. Find a simple game (easier than chess or go) that can be played in the temrinal.
- Implement the game (do it in unity if you want) (connect four or checkers)
- Impement MCTS
- play with params and have a competation
- DRL (getting a good player)
- get unity ml-agent to run
- pick game. Use PPO. Finetune.
- quality diversity (finding good levels)
- implement map elite for levels
- create a dataset of different solvable levels
exam
- Make your own game that is more awesome than default unity, and train ppo on it
1 maintainer
Metadata
1 maintainer
Release files for aigs 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| aigs-0.1.0.tar.gz | 2.9 kB | Without provenance | Details for aigs-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| aigs-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for aigs-0.1.0-py3-none-any.whl |
Total release size: 6.3 kB
Release files / aigs-0.1.0.tar.gz
| Download URL | aigs-0.1.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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uv/0.8.2
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Release files / aigs-0.1.0-py3-none-any.whl
| Download URL | aigs-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.2
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