aim of this project is to investigate the application machine learning
techniques to the ancient game of Go.
Go is an ancient asian board game of two
players. Despite much research effort, computer Go has proven itself
a difficult challenge, with the world's strongest Go program being
unable to compete with weak amateur human players. The main reasons
for this are that the game's huge branching factor defeats brute
force search and it is difficult to write an efficient function
to quantitavly evaluate Go positions.