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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

Oracles, teachers and distillation

Let a planner that can see the future label positions, then train a player that cannot see the future to imitate it.

Read the primer →
567455674teachervalue seenstudentvalue coverednetthe column the teacher chose is not recoverable
Oracles, teachers and distillationfeatured

Oracle distillation

Show a network thousands of positions labelled with the column a future-reading planner chose, and see whether it can guess that column from the screen alone.

rejectedrecorded
→
42774542557611213241565pocketdeadcovershape, not numbers
Oracles, teachers and distillation

Board topology

Ask whether a player can recognise, from board shape alone, the positions a future-reading planner creates.

rejectedrecorded
→
teacherstudentthe teacher labels where the student went
Oracles, teachers and distillation

Oracle DAgger

Copy the future-reading teacher's moves, then let the copy play and ask the teacher what it should have done in the positions the copy reached.

rejected
→

No approach page matches that search.

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