neural networks research group
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Playing Go
Active from 1998 - 2001
Using the SANE and ESP methods, we have evolved networks to play go on small boards. When evolved against a computer program, the networks quickly learn to utilize weaknesses in the opponent, and exhibit aspects of general go-playing behavior. With fitness sharing, shared sampling, and hall-of-fame techniques, networks can be evolved against each other, and they reach a higher playing level that when evolved against a single opponent. Evolving specialists for different parts of the board also leads to improved performance.
Publications
Neuroevolution: Harnessing Creativity in AI Model Design
Sebastian Risi, David Ha, Yujin Tang, Risto Miikkulainen
To Appear In , Cambridge, MA, 2025. MIT Press.
2025
Related Areas
Neuroevolution