A blog about learning go and learning computer go. A go beginner tries to improve his game and use their software engineering skills to build a computer go player. Entries about their go reading, computer go reading, go playing, go improvement, go concepts (seki, ko, miai, etc) and progress building the computer go player.

Sunday, June 26, 2005

About problems in generalizing a tsumego program to open positions (1996) and Optimizing GoTools' Search Heuristic using Genetic Algorithms (2004).

The first paper is literally a statement of problems, whereas the second reports on using GAs to tune the computationally expensive answer to the problem, i.e. picking values for using in the heuristics.

The results of using the GA were actually quite reassuring. Improvements of 8-20% over the hand-tuned solution are reported.

1 comment:

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