Melvin's digital garden

Computer Go

Go-Playing Programs

Igowin

AlphaGo

Inspired new moves, such as the early 3-3 invasion. See https://senseis.xmp.net/?AIRevolution and AlphaGo Teach

Challenges:

  • playing with handicap
  • different board sizes
  • multiple rules
  • different komi
  • maximizing the score

Open problems:

  • pass-adversary, cyclic-adversary, see https://goattack.far.ai/
  • requires special input for whether ladder works or not
  • flying dagger joseki weakness, and possibly a few pincer joseki
  • mirror Go wins as white
  • train a net to “see” future states to be able to adjust its current policy
  • playing like a human would at a given level

SAI

  • Sensible Artificial Intelligence that plays with handicap and targets high scores in 9×9 Go

KataGo

KaTrain

AhQ Go

BadukAI

Gridmaster

SmartGo One

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