ViliamVadocz / takzero

An implementation of AlphaZero for the board game Tak. See also https://github.com/ViliamVadocz/tak

takzero

An implementation of AlphaZero for the board game Tak. See also https://github.com/ViliamVadocz/tak

Structure

The repository contains several libraries and binaries:

• takzero is the main library which implements MCTS and the neural networks
• selfplay is used during training to generate replays and exploitation targets
• reanalyze computes fresh targets from old replays
• learn takes targets from selfplay and reanalyze to train new models
• evaluation pits models against each other
• puzzle runs the puzzle benchmark
• analysis includes interactive game analysis
• graph computes Bayesian Elo from match results (from evaluation) and creates a graph
• tei a TEI implementation

I also have a python directory for miscellaneous Python scripts.

Building

You will need the C++ Pytorch library (LibTorch). See tch-rs for installation instructions.

LibTorch version

It's possible you may not be able to find these versions anymore. In that case try downloading the newest and update the tch-rs version in Cargo.toml.

You may also need to set LIBTORCH_BYPASS_VERSION_CHECK to 1.

If you find some version works, please let me know so I can add it here.

Windows

Worked:

• Stable (2.1.2), CUDA 11.8, Release
• Stable (2.1.2), CUDA 11.8, Debug

Did not work:

• TODO

Linux

Worked:

• Stable (2.1.2), CUDA 11.8, Pre-cxx11 ABI

Did not work:

• TODO