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A 9x9 Go (Weiqi/Baduk) Engine

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// repository documentation

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# Boke Go
Boke is an open source GTP engine for 9x9 Go (Baduk/Weiqi) written in pure Python. A version written in C is in development [here](https://github.com/dukehhong/bokego-c).\
We use a simplified implementation of the Monte Carlo Tree Search variant pioneered by AlphaGo<sup>[1](#1)</sup>. For more details, see our [report](report.pdf).

## Install
To install bokego run
```
git clone https://github.com/meiji163/BokeGo && cd BokeGo
python setup.py install
```
You can then use boke with a GUI that supports GTP engines, such as [GoGui](https://sourceforge.net/projects/gogui/) or [Sabaki](https://sabaki.yichuanshen.de/).\
For example, to use Boke with Sabaki go to Manage Engines > Add and enter the absolute path to boke.py.\
Specify the weights or time limit with optional flags
```
usage: boke.py [-h] [-t SEC] [-r R] [-p PATH] [-v PATH] [--simulate]

BokeGo v0.3 GTP Engine

optional arguments:
  -h, --help  show this help message and exit
  -t SEC      time limit in seconds for each move
  -r R        number of rollouts per move
  -p PATH     path to policy weights
  -v PATH     path to value weights
  --simulate  enable simulations to end of game (slow)
```

If you have a CUDA-enabled GPU, you can move the neural network computations to the GPU by setting
`USE_CUDA = True` in boke.py.\
Note this requires a [PyTorch](https://pytorch.org/get-started/locally/) build with CUDA

GnuGo (B) vs. Boke (W)

![boke vs gnugo](https://media.giphy.com/media/T9E8NcDPFe5PAdmyxT/giphy.gif)

## References
<div><a name="1">1</a>: https://www.nature.com/articles/nature16961</div>

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