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aigs

To get up and running:

  1. Install uv so you can get our environment up and running (https://docs.astral.sh/uv/)
  2. 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.
    1. Implement the game (do it in unity if you want) (connect four or checkers)
    2. Impement MCTS
    3. play with params and have a competation
  • DRL (getting a good player)
    1. get unity ml-agent to run
    2. pick game. Use PPO. Finetune.
  • quality diversity (finding good levels)
    1. implement map elite for levels
    2. create a dataset of different solvable levels

exam

  1. Make your own game that is more awesome than default unity, and train ppo on it

Metadata

Release files for aigs 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for aigs 0.1.0
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aigs-0.1.0.tar.gz 2.9 kB Details

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Table of built distributions (wheels) for aigs 0.1.0
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aigs-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 6.3 kB

Release files / aigs-0.1.0.tar.gz

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Release files / aigs-0.1.0-py3-none-any.whl

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Size 3.4 kB
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This release

0.1.0 This release

2 release files

0.0.5

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0.0.4

2 release files

0.0.3

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0.0.2

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0.0.1

2 release files

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