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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

Heuristic evaluation

Score a board with a hand-written sum of visible traits, then play the column whose board scores highest.

Read the primer →
365416325554314362215readinesslatentcoverheightroughnessone board, one number
Heuristic evaluationfeatured

The fair leaf evaluator

The hand-written board evaluator every search in this family uses at the bottom of its look-ahead, and the tuning bench its coefficients came from.

completedrecorded
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656167423611642basephaserise
Heuristic evaluation

Adding a rise-cycle residual to the evaluator

Adds a small rise-cycle term to board evaluation and preserves the fitted weights for later work.

completedrecorded
→
5427135726123256616354123144443+7trencha cover sits highin the wallthe column clearstop to floorthe trench reacheswhat was walled in
Heuristic evaluation

Tunneling

Dig a channel down beside the tall side of the board so that the dangerous gray discs high up can actually be reached and opened.

completed
→

No approach page matches that search.

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