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