KataGo-Outer-Open-Gomoku

using KataGo method to train Outer-Open Gomoku.

Features

• Outer-Open Gomoku Gomoku
• Multi-threading Tree/Root Parallelization with Virtual Loss and LibTorch
• Gomoku, MCTS and Network Infer are written in C++
• SWIG for Python C++ extension

Args

Edit config.py

Packages

• Python 3.6+
• PyGame 1.9+
• CUDA 11+
• PyTorch 1.1+
• LibTorch 1.3+ (Pre-cxx11 ABI)
• SWIG 3.0.12+
• CMake 3.8+
• MSVC14.0+ / GCC6.0+

Run

# Compile Python extension
mkdir build
cd build
cmake .. -DCMAKE_PREFIX_PATH=path/to/libtorch -DPYTHON_EXECUTABLE=path/to/python -DCMAKE_BUILD_TYPE=Release
make -j10

# Run
cd ../test
python learner_test.py train # train model
python learner_test.py play  # play with human

#Ludii
cd test
python server.py
// to open server, and you also need to open the Ludii client