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Approaches

Each page here is one theory of how to choose a column, grouped by the technique it uses; the engines that play the games and the instruments that measure them live under Engines and Diagnostics.

Techniqueallexpectimaxheuristic-evaluationq-learningn-tuplennuepolicy-gradientevolutionmctsrollout-policy-iterationoracle-distillationrisk-survivalafterstateconstructive-planningdeterminization
Statusallcompletedrejectedruntime-pausedpreregisteredsupport-onlyproposal
Readsallpublicoracle/teacherdiagnostic
Group bytechniquefamily

2 approaches of 87

Rollouts and policy iteration

Judge a column by playing many moves forward with a fast policy, and let that overrule the search when the evidence is strong.

Read the primer →
4 moves: the search25 moves: the rolloutrises+Δthresholdmargin short of the mark: the search keeps its move
Rollouts and policy iterationfeatured

Rollout veto

Keep the depth-4 search's move unless replaying every column forward for twenty-five moves says, across all seven imagined futures, that another one is better.

recorded
→
62422214113111222263214333241521742 challengershorizonevery future runs to game over
Rollouts and policy iteration

Terminal rollout

Compare columns by playing each one to the end of the game. This faithful version was unaffordable.

→

No approach page matches that search.

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