I think it would be useful to have a list of existing important
heuristics / algorithms / ideas that improve Monte-Carlo Go.
If you are aware of any that are not on this list please add them.

Lukasz Lew

- MCTS / UCT
- capture/atari heuristics in heavy playouts / mogo patterns
http://hal.inria.fr/docs/00/12/15/16/PDF/RR-6062.pdf
- harvested patterns with elo ratings http://remi.coulom.free.fr/Amsterdam2007/
- criticality heuristic http://remi.coulom.free.fr/Criticality/
- progressive bias / progrssive unprunning
http://www.math-info.univ-paris5.fr/~bouzy/publications/CWHUB-pMCTS-2007.pdf
- first play urgency + locality
http://hal.inria.fr/docs/00/12/15/16/PDF/RR-6062.pdf
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