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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

Fair expectimax

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

365416325554314362215readinesslatentcoverheightroughnessone board, one number
Fair expectimaxfeatured

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
Fair expectimax

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
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Hand-built heuristics and shallow search

Scores visible board traits, adds them together, and plays the highest-valued column.

5427135726123256616354123144443+7trencha cover sits highin the wallthe column clearstop to floorthe trench reacheswhat was walled in
Hand-built heuristics and shallow search

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
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No approach page matches that search.

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