A collection of StarCraft 2 AI written in python. Some will actually attempt to play the game, some use deep learning via Tensorflow to do predictions.
Here is an example of a win prediction model. It was trained on replays and is just based on the number of each unit that a player has. Here is it's prediction over the course of a game. It has no concept of unit location on the map though. Top graph is in game score aggregate of resources and units. Bottom graph are the estimated odds of winning at each second. Zerg did end up winning this match. I believe the enemy was Terran.
Install the following in order:
- Python 3.6.x
- pip
- tensorflow-gpu or tensorflow if you're lame. Do not attempt to build from source on Windows in either case.
- Pycharm
- Upon cloning the repository, run
update-packages.bat, which will update other dependencies used by this repository. It relies on pip working from the command-line.
Setting Up Pycharm:
- File > Import Settings > sc2ai directory > pycharm_settings.jar
- Open Project > sc2ai directory
- Mark the working folder inside
\customas source root. You will want to unmark it if you move to another custom folder. - Run > Templates > Python >
- Target To Run: Script path
- Python interpreter: Python 3.6.x (pointing at your python.exe file)