This library is still very experimental. The search algorithm is quite fast and seems to work pretty well, though.

Features

• Multi-core computation (root parallelization [1]).
• Available games:
  • Connect four (text-based)
  • Nim (text-based)

Requirements

• C++11, nothing else, for the actual search algorithm.
• CMake is useful for building.
• If the compiler support OpenMP it will be used for timing.
• A graphical Go game is available if Cinder is found.

Performance

I evaluate performance when computing the first move for connect-four on an 8-core computer. With Visual Studio 2012 (64-bit), I get 1.7 million complete games per second.

References

1. Chaslot, G. M. B., Winands, M. H., & van Den Herik, H. J. (2008). Parallel monte-carlo tree search. In Computers and Games (pp. 60-71). Springer Berlin Heidelberg.