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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

3 approaches of 87

Expectimax search

Look a few moves ahead, take the best column on your own turns, and average over the discs the game might deal.

Read the primer →
3 membersvoteevery column, every ply, three times
Expectimax search

Exact search

Three attempts add independent chance estimates, depth, and voters to a search. None repairs a biased board evaluation.

rejectedrecorded
→
columnsdepth 4depth 5a fifth move on two columns, not seven
Expectimax search

Looking five moves ahead

Three attempts add a fifth move for selected columns, at row rises, or with fewer chance samples. None paid off.

rejectedrecorded
→
123456700weight on each next discall seven, each weighted 1/7five samples, two values unweighted
Expectimax search

Seven chance samples instead of five

The next disc has seven equally likely values, but the reference samples only five. This tests all seven.

rejectedrecorded
→

No approach page matches that search.

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