Predicting Combat Outcomes and Optimizing Armies in StarCraft II by Deep Learning

Code implemented with

• Python3
• PyTorch

Prerequisite

• git
• anaconda

Instructions

git clone https://github.com/jgs03177/sc2squad.git && cd sc2squad
conda env create -f environment.yml
conda activate pytorch
jupyter notebook main.ipynb

From the anaconda console, type the commands above, which:

1. Clone this repository and change the working directory.
2. Create PyTorch environment using environment.yml.
3. Activate the created PyTorch environment.
4. Run main.ipynb from Jupiter.

Paper

• Predicting Combat Outcomes and Optimizing Armies in StarCraft II by Deep Learning

@article{Lee2021,
  doi = {10.1016/j.eswa.2021.115592},
  url = {https://doi.org/10.1016/j.eswa.2021.115592},
  year = {2021},
  month = dec,
  publisher = {Elsevier {BV}},
  volume = {185},
  pages = {115592},
  author = {Donghyeon Lee and Man-Je Kim and Chang Wook Ahn},
  title = {Predicting combat outcomes and optimizing armies in {StarCraft} {II} by deep learning},
  journal = {Expert Systems with Applications}
}

Link

• StarCraft II Combat Simulator